Longbing Cao

Orcid: 0000-0003-1562-9429

Affiliations:
  • University of Technology Sydney, Australia


According to our database1, Longbing Cao authored at least 418 papers between 2003 and 2025.

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Bibliography

2025
COVID-19 Modeling: A Review.
ACM Comput. Surv., January, 2025

2024
Copula Variational LSTM for High-Dimensional Cross-Market Multivariate Dependence Modeling.
IEEE Trans. Neural Networks Learn. Syst., November, 2024

Out-of-Distribution Detection by Cross-Class Vicinity Distribution of In-Distribution Data.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

Weighting non-IID batches for out-of-distribution detection.
Mach. Learn., October, 2024

Ai4tech: X-AI enabling X-Tech with human-like, generative, decentralized, humanoid and metaverse AI.
Int. J. Data Sci. Anal., September, 2024

Learning Informative Representation for Fairness-Aware Multivariate Time-Series Forecasting: A Group-Based Perspective.
IEEE Trans. Knowl. Data Eng., June, 2024

Deep Multidilation Temporal and Spatial Dependence Modeling in Stereoscopic 3-D EEG for Visual Discomfort Assessment.
IEEE Trans. Syst. Man Cybern. Syst., April, 2024

Explicit and Implicit Pattern Relation Analysis for Discovering Actionable Negative Sequences.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

Marked Temporal Bayesian Flow Point Processes.
CoRR, 2024

UGotMe: An Embodied System for Affective Human-Robot Interaction.
CoRR, 2024

Federated Neural Nonparametric Point Processes.
CoRR, 2024

Probing the Robustness of Vision-Language Pretrained Models: A Multimodal Adversarial Attack Approach.
CoRR, 2024

Can LLMs Serve As Time Series Anomaly Detectors?
CoRR, 2024

Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks.
CoRR, 2024

Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift.
CoRR, 2024

AI Robots and Humanoid AI: Review, Perspectives and Directions.
CoRR, 2024

ParamReL: Learning Parameter Space Representation via Progressively Encoding Bayesian Flow Networks.
CoRR, 2024

FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification.
CoRR, 2024

Causal Learning for Trustworthy Recommender Systems: A Survey.
CoRR, 2024

DE<sup>3</sup>-BERT: Distance-Enhanced Early Exiting for BERT based on Prototypical Networks.
CoRR, 2024

Weakly Augmented Variational Autoencoder in Time Series Anomaly Detection.
CoRR, 2024

Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Global COVID-19 Research and Modeling - A Historical Record, 1
Springer, ISBN: 978-981-99-9914-9, 2024

2023
Supervision Adaptation Balancing In-Distribution Generalization and Out-of-Distribution Detection.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Modeling User Demand Evolution for Next-Basket Prediction.
IEEE Trans. Knowl. Data Eng., November, 2023

Revealing the Distributional Vulnerability of Discriminators by Implicit Generators.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

An Efficient Method for Modeling Nonoccurring Behaviors by Negative Sequential Patterns With Loose Constraints.
IEEE Trans. Neural Networks Learn. Syst., April, 2023

AI and data science for smart emergency, crisis and disaster resilience.
Int. J. Data Sci. Anal., April, 2023

Trans-AI/DS: transformative, transdisciplinary and translational artificial intelligence and data science.
Int. J. Data Sci. Anal., March, 2023

BiT-MAC: Mortality prediction by bidirectional time and multi-feature attention coupled network on multivariate irregular time series.
Comput. Biol. Medicine, March, 2023

Dual Representation Learning for Out-of-distribution Detection.
Trans. Mach. Learn. Res., 2023

AI in Finance: Challenges, Techniques, and Opportunities.
ACM Comput. Surv., 2023

Out-of-Distribution Knowledge Distillation via Confidence Amendment.
CoRR, 2023

Bayesian Personalized Federated Learning with Shared and Personalized Uncertainty Representations.
CoRR, 2023

C<sup>2</sup>VAE: Gaussian Copula-based VAE Differing Disentangled from Coupled Representations with Contrastive Posterior.
CoRR, 2023

Bayesian Federated Learning: A Survey.
CoRR, 2023

ClinicLens: Visual Analytics for Exploring and Optimizing the Testing Capacity of Clinics given Uncertainty.
CoRR, 2023

eVAE: Evolutionary Variational Autoencoder.
CoRR, 2023

Frequency-domain MLPs are More Effective Learners in Time Series Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

R-divergence for Estimating Model-oriented Distribution Discrepancy.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MTSNet: Deep Probabilistic Cross-multivariate Time Series Modeling with External Factors for COVID-19.
Proceedings of the International Joint Conference on Neural Networks, 2023

An Unsupervised Hierarchical Clustering Approach to Improve Hopfield Retrieval Accuracy.
Proceedings of the International Joint Conference on Neural Networks, 2023

Deep Spectral Copula Mechanisms Modeling Coupled and Volatile Multivariate Time Series.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2022
Neural Time-Aware Sequential Recommendation by Jointly Modeling Preference Dynamics and Explicit Feature Couplings.
IEEE Trans. Neural Networks Learn. Syst., 2022

Recurrent Coupled Topic Modeling over Sequential Documents.
ACM Trans. Knowl. Discov. Data, 2022

Learning Multiaspect Traffic Couplings by Multirelational Graph Attention Networks for Traffic Prediction.
IEEE Trans. Intell. Transp. Syst., 2022

DeepExpress: Heterogeneous and Coupled Sequence Modeling for Express Delivery Prediction.
ACM Trans. Intell. Syst. Technol., 2022

Unsupervised Heterogeneous Coupling Learning for Categorical Representation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

CoupledMUTS: Coupled Multivariate Utility Time-Series Representation and Prediction.
IEEE Internet Things J., 2022

From Features Engineering to Scenarios Engineering for Trustworthy AI: I&I, C&C, and V&V.
IEEE Intell. Syst., 2022

Beyond AutoML: Mindful and Actionable AI and AutoAI With Mind and Action.
IEEE Intell. Syst., 2022

AutoAI: Autonomous AI.
IEEE Intell. Syst., 2022

Beyond i.i.d.: Non-IID Thinking, Informatics, and Learning.
IEEE Intell. Syst., 2022

Non-IID Learning.
IEEE Intell. Syst., 2022

Decentralized AI: Edge Intelligence and Smart Blockchain, Metaverse, Web3, and DeSci.
IEEE Intell. Syst., 2022

Deep Learning Applications.
IEEE Intell. Syst., 2022

Non-IID Federated Learning.
IEEE Intell. Syst., 2022

AI in Combating the COVID-19 Pandemic.
IEEE Intell. Syst., 2022

A New Age of AI: Features and Futures.
IEEE Intell. Syst., 2022

AI Science and Engineering.
IEEE Intell. Syst., 2022

AI Science and Engineering: A New Field.
IEEE Intell. Syst., 2022

A Survey on Session-based Recommender Systems.
ACM Comput. Surv., 2022

Deep Learning for Anomaly Detection: A Review.
ACM Comput. Surv., 2022

Tri-Attention: Explicit Context-Aware Attention Mechanism for Natural Language Processing.
CoRR, 2022

Edge-Varying Fourier Graph Networks for Multivariate Time Series Forecasting.
CoRR, 2022

Distributional Drift Adaptation with Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting.
CoRR, 2022

Supervised Deep Hashing for High-dimensional and Heterogeneous Case-based Reasoning.
CoRR, 2022

Label and Distribution-discriminative Dual Representation Learning for Out-of-Distribution Detection.
CoRR, 2022

Supervision Adaptation Balances In-Distribution Generalization and Out-of-Distribution Detection.
CoRR, 2022

Gray Learning from Non-IID Data with Out-of-distribution Samples.
CoRR, 2022

Coupling Online-Offline Learning for Multi-distributional Data Streams.
CoRR, 2022

ANDEA: Anomaly and Novelty Detection, Explanation, and Accommodation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Shallow and Deep Non-IID Learning on Complex Data.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Mining Contextual Item Similarity without Concept Hierarchy.
Proceedings of the 16th International Conference on Ubiquitous Information Management and Communication, 2022

Deep Learning for Search and Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Interactive Sequential Basket Recommendation by Learning Basket Couplings and Positive/Negative Feedback.
ACM Trans. Inf. Syst., 2021

VM-NSP: Vertical Negative Sequential Pattern Mining with Loose Negative Element Constraints.
ACM Trans. Inf. Syst., 2021

dhCM: Dynamic and Hierarchical Event Categorization and Discovery for Social Media Stream.
ACM Trans. Intell. Syst. Technol., 2021

Data science and AI in FinTech: an overview.
Int. J. Data Sci. Anal., 2021

Learning Complex Couplings and Interactions.
IEEE Intell. Syst., 2021

Hierarchical Attentive Transaction Embedding With Intra- and Inter-Transaction Dependencies for Next-Item Recommendation.
IEEE Intell. Syst., 2021

Answer Keyword Generation for Community Question Answering by Multiaspect Gamma-Poisson Matrix Completion.
IEEE Intell. Syst., 2021

Learning deep relevance couplings for ad-hoc document retrieval.
Expert Syst. Appl., 2021

Homophily outlier detection in non-IID categorical data.
Data Min. Knowl. Discov., 2021

Table2Vec: Automated Universal Representation Learning to Encode All-round Data DNA for Benchmarkable and Explainable Enterprise Data Science.
CoRR, 2021

Modeling COVID-19 uncertainties evolving over time and density-dependent social reinforcement and asymptomatic infections.
CoRR, 2021

Revealing Distributional Vulnerability of Explicit Discriminators by Implicit Generators.
CoRR, 2021

Personalized next-best action recommendation with multi-party interaction learning for automated decision-making.
CoRR, 2021

COVID-19 Modeling: A Review.
CoRR, 2021

Deep Learning for Anomaly Detection: Challenges, Methods, and Opportunities.
Proceedings of the WSDM '21, 2021

Anomaly and Novelty Detection, Explanation, and Accommodation (ANDEA).
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Graph Learning based Recommender Systems: A Review.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Enlivening Redundant Heads in Multi-head Self-attention for Machine Translation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

BiCMTS: Bidirectional Coupled Multivariate Learning of Irregular Time Series with Missing Values.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Self-supervised Bilingual Syntactic Alignment for Neural Machine Translation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Inferring Implicit Rules by Learning Explicit and Hidden Item Dependency.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Heterogeneous Univariate Outlier Ensembles in Multidimensional Data.
ACM Trans. Knowl. Discov. Data, 2020

e-RNSP: An Efficient Method for Mining Repetition Negative Sequential Patterns.
IEEE Trans. Cybern., 2020

The Era of Intelligent Recommendation: Editorial on Intelligent Recommendation with Advanced AI and Learning.
IEEE Intell. Syst., 2020

Special Issue on AI and FinTech: The Challenge Ahead.
IEEE Intell. Syst., 2020

Deep Reinforcement Learning for Unknown Anomaly Detection.
CoRR, 2020

AI in FinTech: A Research Agenda.
CoRR, 2020

Non-IID Recommender Systems: A Review and Framework of Recommendation Paradigm Shifting.
CoRR, 2020

Jointly Modeling Intra- and Inter-transaction Dependencies with Hierarchical Attentive Transaction Embeddings for Next-item Recommendation.
CoRR, 2020

Graph Learning Approaches to Recommender Systems: A Review.
CoRR, 2020

IEEE DSAA-The IEEE Flagship Conference in Data Science [Society Briefs].
IEEE Comput. Intell. Mag., 2020

Maximum Entropy Reinforcement Learning with Evolution Strategies.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Intention2Basket: A Neural Intention-driven Approach for Dynamic Next-basket Planning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Mix2Vec: Unsupervised Mixed Data Representation.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

Intention Nets: Psychology-Inspired User Choice Behavior Modeling for Next-Basket Prediction.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Mining Top- ${k}$ Useful Negative Sequential Patterns via Learning.
IEEE Trans. Neural Networks Learn. Syst., 2019

HCBC: A Hierarchical Case-Based Classifier Integrated with Conceptual Clustering.
IEEE Trans. Knowl. Data Eng., 2019

CURE: Flexible Categorical Data Representation by Hierarchical Coupling Learning.
IEEE Trans. Knowl. Data Eng., 2019

Data Science: Profession and Education.
IEEE Intell. Syst., 2019

Modeling positive and negative feedback for improving document retrieval.
Expert Syst. Appl., 2019

Negative Sequence Analysis: A Review.
ACM Comput. Surv., 2019

A Survey on Session-based Recommender Systems.
CoRR, 2019

Evolving Coauthorship Modeling and Prediction via Time-Aware Paired Choice Analysis.
IEEE Access, 2019

Enhancing Mobile App User Understanding and Marketing With Heterogeneous Crowdsourced Data: A Review.
IEEE Access, 2019

Sequential Recommender Systems: Challenges, Progress and Prospects.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Modeling Multi-Purpose Sessions for Next-Item Recommendations via Mixture-Channel Purpose Routing Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

TBQ(σ): Improving Efficiency of Trace Utilization for Off-Policy Reinforcement Learning.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Multi-View Information-Theoretic Co-Clustering for Co-Occurrence Data.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Evolutionarily Learning Multi-Aspect Interactions and Influences from Network Structure and Node Content.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
GeoMF++: Scalable Location Recommendation via Joint Geographical Modeling and Matrix Factorization.
ACM Trans. Inf. Syst., 2018

Heterogeneous Metric Learning of Categorical Data with Hierarchical Couplings.
IEEE Trans. Knowl. Data Eng., 2018

Unsupervised Coupled Metric Similarity for Non-IID Categorical Data.
IEEE Trans. Knowl. Data Eng., 2018

Coupled Clustering Ensemble by Exploring Data Interdependence.
ACM Trans. Knowl. Discov. Data, 2018

Exploring Feature Coupling and Model Coupling for Image Source Identification.
IEEE Trans. Inf. Forensics Secur., 2018

F-NSP+: A fast negative sequential patterns mining method with self-adaptive data storage.
Pattern Recognit., 2018

Effective lossless condensed representation and discovery of spatial co-location patterns.
Inf. Sci., 2018

Generalized Hidden-Mapping Minimax Probability Machine for the training and reliability learning of several classical intelligent models.
Inf. Sci., 2018

Modeling and Forecasting the Popularity Evolution of Mobile Apps: A Multivariate Hawkes Process Approach.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Introduction to the special issue on Data Science in Asia (with PAKDD'2017).
Int. J. Data Sci. Anal., 2018

Neural Cross-Session Filtering: Next-Item Prediction Under Intra- and Inter-Session Context.
IEEE Intell. Syst., 2018

Coupled Node Similarity Learning for Community Detection in Attributed Networks.
Entropy, 2018

Concept coupling learning for improving concept lattice-based document retrieval.
Eng. Appl. Artif. Intell., 2018

Coupled Collective Matrix Factorization.
Proceedings of the 2018 IEEE SmartWorld, 2018

Vine Copula-Based Asymmetry and Tail Dependence Modeling.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

High-order Proximity Preserving Information Network Hashing.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

CoupledCF: Learning Explicit and Implicit User-item Couplings in Recommendation for Deep Collaborative Filtering.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Interpretable Recommendation via Attraction Modeling: Learning Multilevel Attractiveness over Multimodal Movie Contents.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Metadata-dependent Infinite Poisson Factorization for Efficiently Modelling Sparse and Large Matrices in Recommendation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Deep-PUMR: Deep Positive and Unlabeled Learning with Manifold Regularization.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Interactive Probabilistic Post-Mining of User-Preferred Spatial Co-Location Patterns.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Attention-Based Transactional Context Embedding for Next-Item Recommendation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Metric-Based Auto-Instructor for Learning Mixed Data Representation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Coupled Poisson Factorization Integrated With User/Item Metadata for Modeling Popular and Sparse Ratings in Scalable Recommendation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Enhancing online video recommendation using social user interactions.
VLDB J., 2017

Improving the Quality of Recommendations for Users and Items in the Tail of Distribution.
ACM Trans. Inf. Syst., 2017

Learning Nonparametric Relational Models by Conjugately Incorporating Node Information in a Network.
IEEE Trans. Cybern., 2017

SVM-based multi-state-mapping approach for multi-class classification.
Knowl. Based Syst., 2017

Top-k coupled keyword recommendation for relational keyword queries.
Knowl. Inf. Syst., 2017

Septic shock prediction for ICU patients via coupled HMM walking on sequential contrast patterns.
J. Biomed. Informatics, 2017

Classification of high-dimensional evolving data streams via a resource-efficient online ensemble.
Data Min. Knowl. Discov., 2017

Data Science: A Comprehensive Overview.
ACM Comput. Surv., 2017

Data science: challenges and directions.
Commun. ACM, 2017

A honey-bee-mating based algorithm for multilevel image segmentation using Bayesian theorem.
Appl. Soft Comput., 2017

Perceiving the Next Choice with Comprehensive Transaction Embeddings for Online Recommendation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Discrete Content-aware Matrix Factorization.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Behavior Informatics to Discover Behavior Insight for Active and Tailored Client Management.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Embedding-based Representation of Categorical Data by Hierarchical Value Coupling Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Diversifying Personalized Recommendation with User-session Context.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Copula-Based High Dimensional Cross-Market Dependence Modeling.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

Selective Value Coupling Learning for Detecting Outliers in High-Dimensional Categorical Data.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
An effective contrast sequential pattern mining approach to taxpayer behavior analysis.
World Wide Web, 2016

Mining preferred navigation patterns by consolidating both selection and time preferences.
World Wide Web, 2016

Learning Informative Priors from Heterogeneous Domains to Improve Recommendation in Cold-Start User Domains.
ACM Trans. Inf. Syst., 2016

Scientific Article Recommendation: Exploiting Common Author Relations and Historical Preferences.
IEEE Trans. Big Data, 2016

Two-level matrix factorization for recommender systems.
Neural Comput. Appl., 2016

Permutation anonymization.
J. Intell. Inf. Syst., 2016

Data science and analytics: a new era.
Int. J. Data Sci. Anal., 2016

Data Science: Nature and Pitfalls.
IEEE Intell. Syst., 2016

Conference Report on 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA'2015) [Conference Reports].
IEEE Comput. Intell. Mag., 2016

e-NSP: Efficient negative sequential pattern mining.
Artif. Intell., 2016

Training deep neural networks on imbalanced data sets.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Outlier Detection in Complex Categorical Data by Modeling the Feature Value Couplings.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Copula Mixed-Membership Stochastic Blockmodel.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Unsupervised Feature Selection for Outlier Detection by Modelling Hierarchical Value-Feature Couplings.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Improving the Performance of Collaborative Filtering with Category-Specific Neighborhood.
Proceedings of the Intelligent Information and Database Systems - 8th Asian Conference, 2016

2015
Metasynthetic Computing and Engineering of Complex Systems
Advanced Information and Knowledge Processing, Springer, ISBN: 978-1-4471-6551-4, 2015

Formalization and Verification of Group Behavior Interactions.
IEEE Trans. Syst. Man Cybern. Syst., 2015

MRM-Lasso: A Sparse Multiview Feature Selection Method via Low-Rank Analysis.
IEEE Trans. Neural Networks Learn. Syst., 2015

Coupled Attribute Similarity Learning on Categorical Data.
IEEE Trans. Neural Networks Learn. Syst., 2015

Dynamic Infinite Mixed-Membership Stochastic Blockmodel.
IEEE Trans. Neural Networks Learn. Syst., 2015

Mining Partially-Ordered Sequential Rules Common to Multiple Sequences.
IEEE Trans. Knowl. Data Eng., 2015

Minimax Probability TSK Fuzzy System Classifier: A More Transparent and Highly Interpretable Classification Model.
IEEE Trans. Fuzzy Syst., 2015

Mining Top K Spread Sources for a Specific Topic and a Given Node.
IEEE Trans. Cybern., 2015

Automatic multilevel thresholding for image segmentation using stratified sampling and Tabu Search.
Soft Comput., 2015

A convergence theorem for graph shift-type algorithms.
Pattern Recognit., 2015

Multi-view attribute reduction model for traffic bottleneck analysis.
Knowl. Based Syst., 2015

Coupling learning of complex interactions.
Inf. Process. Manag., 2015

Nonoccurring Behavior Analytics: A New Area.
IEEE Intell. Syst., 2015

Financial Crisis Forecasting via Coupled Market State Analysis.
IEEE Intell. Syst., 2015

A new framework for mining frequent interaction patterns from meeting databases.
Eng. Appl. Artif. Intell., 2015

Coupling Analysis Between Twitter and Call Centre.
CoRR, 2015

CSAL: Self-adaptive Labeling based Clustering Integrating Supervised Learning on Unlabeled Data.
CoRR, 2015

Online Video Recommendation in Sharing Community.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

A Coupled k-Nearest Neighbor Algorithm for Multi-label Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Coupled Matrix Factorization Within Non-IID Context.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Coupling Multiple Views of Relations for Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Analysing User Reviews in Tourism with Topic Models.
Proceedings of the Information and Communication Technologies in Tourism 2015, 2015

Mining actionable combined patterns of high utility and frequency.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Document similarity analysis via involving both explicit and implicit semantic couplings.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Financial crisis and global market couplings.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Multi-View Actionable Patterns for Managing Traffic Bottleneck.
Proceedings of the Artificial Intelligence for Transportation: Advice, 2015

Actionable Combined High Utility Itemset Mining.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Coupled Collaborative Filtering for Context-aware Recommendation.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Deep Modeling Complex Couplings within Financial Markets.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
T2FELA: Type-2 Fuzzy Extreme Learning Algorithm for Fast Training of Interval Type-2 TSK Fuzzy Logic System.
IEEE Trans. Neural Networks Learn. Syst., 2014

Social Image Analysis From a Non-IID Perspective.
IEEE Trans. Multim., 2014

An Efficient Approach for Outlier Detection with Imperfect Data Labels.
IEEE Trans. Knowl. Data Eng., 2014

Uncertain One-Class Learning and Concept Summarization Learning on Uncertain Data Streams.
IEEE Trans. Knowl. Data Eng., 2014

A Similarity-Based Classification Framework for Multiple-Instance Learning.
IEEE Trans. Cybern., 2014

Fast Local Histogram Specification.
IEEE Trans. Circuits Syst. Video Technol., 2014

Coupled K-Nearest Centroid Classification for Non-iid Data.
Trans. Comput. Collect. Intell., 2014

Multi-label learning based on iterative label propagation over graph.
Pattern Recognit. Lett., 2014

An efficient color quantization based on generic roughness measure.
Pattern Recognit., 2014

Non-parametric shrinkage mean estimation for quadratic loss functions with unknown covariance matrices.
J. Multivar. Anal., 2014

An efficient orientation distance-based discriminative feature extraction method for multi-classification.
Knowl. Inf. Syst., 2014

A novel graph-based k-means for nonlinear manifold clustering and representative selection.
Neurocomputing, 2014

Behavior Informatics: A New Perspective.
IEEE Intell. Syst., 2014

CMF: Coupled Matrix Factorization for Recommender Systems.
CoRR, 2014

Non-IIDness Learning in Behavioral and Social Data.
Comput. J., 2014

Evolving soft subspace clustering.
Appl. Soft Comput., 2014

mPadal: a joint local-and-global multi-view feature selection method for activity recognition.
Appl. Intell., 2014

A K-Farthest-Neighbor-based approach for support vector data description.
Appl. Intell., 2014

Coupled Item-Based Matrix Factorization.
Proceedings of the Web Information Systems Engineering - WISE 2014, 2014

Modeling Asymmetry and Tail Dependence among Multiple Variables by Using Partial Regular Vine.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

A hybrid coupled k-nearest neighbor algorithm on imbalance data.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Coupled fuzzy k-nearest neighbors classification of imbalanced non-IID categorical data.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Bayesian Heteroskedastic Choice Modeling on Non-identically Distributed Linkages.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Knowledge-leverage based TSK fuzzy system with improved knowledge transfer.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

Welcome from DSAA 2014 chairs.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

Semantic Approximate Keyword Query Based on Keyword and Query Coupling Relationship Analysis.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

A Coupled Similarity Kernel for Pairwise Support Vector Machine.
Proceedings of the Agents and Data Mining Interaction - 10th International Workshop, 2014

Deep Modeling of Group Preferences for Group-Based Recommendation.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Effective detection of sophisticated online banking fraud on extremely imbalanced data.
World Wide Web, 2013

Combined mining: Analyzing object and pattern relations for discovering and constructing complex yet actionable patterns.
WIREs Data Mining Knowl. Discov., 2013

Agent-Based Self-Adaptable Context-Aware Network Vulnerability Assessment.
IEEE Trans. Netw. Serv. Manag., 2013

Identity tests for high dimensional data using RMT.
J. Multivar. Anal., 2013

SVDD-based outlier detection on uncertain data.
Knowl. Inf. Syst., 2013

Special issue on behavior computing.
Knowl. Inf. Syst., 2013

TCTM: an evaluation framework for architecture design on wireless sensor networks.
Int. J. Sens. Networks, 2013

On the convergence of some possibilistic clustering algorithms.
Fuzzy Optim. Decis. Mak., 2013

TRASMIL: A local anomaly detection framework based on trajectory segmentation and multi-instance learning.
Comput. Vis. Image Underst., 2013

Optimal feature selection for sparse linear discriminant analysis and its applications in gene expression data.
Comput. Stat. Data Anal., 2013

Characterizing A Database of Sequential Behaviors with Latent Dirichlet Hidden Markov Models
CoRR, 2013

Non-parametric Power-law Data Clustering.
CoRR, 2013

Learning Hidden Structures with Relational Models by Adequately Involving Rich Information in A Network.
CoRR, 2013

Copula Mixed-Membership Stochastic Blockmodel for Intra-Subgroup Correlations.
CoRR, 2013

Personalized recommendation via cross-domain triadic factorization.
Proceedings of the 22nd International World Wide Web Conference, 2013

CGMF: Coupled Group-Based Matrix Factorization for Recommender System.
Proceedings of the Web Information Systems Engineering - WISE 2013, 2013

Efficient Selection of Globally Optimal Rules on Large Imbalanced Data Based on Rule Coverage Relationship Analysis.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Robust Textual Data Streams Mining Based on Continuous Transfer Learning.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

On Discovering the Correlated Relationship between Static and Dynamic Data in Clinical Gait Analysis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Erratum: A Coupled Clustering Approach for Items Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

A Coupled Clustering Approach for Items Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Optimal Allocation of High Dimensional Assets through Canonical Vines.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Mining Frequent Patterns from Human Interactions in Meetings Using Directed Acyclic Graphs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Extracting discriminative features for identifying abnormal sequences in one-class mode.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

CRNN: Integrating classification rules into neural network.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Coupled term-term relation analysis for document clustering.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Coupled market behavior based financial crisis detection.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Coupled Attribute Analysis on Numerical Data.
Proceedings of the IJCAI 2013, 2013

Cross-Domain Collaborative Filtering via Bilinear Multilevel Analysis.
Proceedings of the IJCAI 2013, 2013

Efficiently Mining Top-K High Utility Sequential Patterns.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Leveraging Supervised Label Dependency Propagation for Multi-label Learning.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Coupled clustering ensemble: Incorporating coupling relationships both between base clusterings and objects.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

The Foundation of Fuzzy Rule Interchange in the Semantic Web.
Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2013

An approach of hierarchical concept clustering on Medical Short Text corpus.
Proceedings of the 6th International Conference on Biomedical Engineering and Informatics, 2013

Learning Heterogeneous Coupling Relationships Between Non-IID Terms.
Proceedings of the Agents and Data Mining Interaction - 9th International Workshop, 2013

2012
Actionable knowledge discovery and delivery.
WIREs Data Mining Knowl. Discov., 2012

Social Security and Social Welfare Data Mining: An Overview.
IEEE Trans. Syst. Man Cybern. Part C, 2012

Coupled Behavior Analysis with Applications.
IEEE Trans. Knowl. Data Eng., 2012

Top-10 Data Mining Case Studies.
Int. J. Inf. Technol. Decis. Mak., 2012

Conservation of water molecules in protein binding interfaces.
Int. J. Bioinform. Res. Appl., 2012

A brief introduction to agent mining.
Auton. Agents Multi Agent Syst., 2012

CD: A Coupled Discretization Algorithm.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

USpan: an efficient algorithm for mining high utility sequential patterns.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Coupled behavior analysis for capturing coupling relationships in group-based market manipulations.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Graph-based coupled behavior analysis: A case study on detecting collaborative manipulations in stock markets.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Model the complex dependence structures of financial variables by using canonical vine.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Maximum margin clustering on evolutionary data.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Multiobjective evolutionary algorithm-based soft subspace clustering.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

A novel auto-parameters selection process for image segmentation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Trading Strategy Based Portfolio Selection for Actionable Trading Agents.
Proceedings of the Agents and Data Mining Interaction - 8th International Workshop, 2012

CCE: A Coupled Framework of Clustering Ensembles.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

A Theoretical Framework of the Graph Shift Algorithm.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

Behavior Computing - Modeling, Analysis, Mining and Decision.
Springer, ISBN: 978-1-4471-2968-4, 2012

2011
Combined Mining: Discovering Informative Knowledge in Complex Data.
IEEE Trans. Syst. Man Cybern. Part B, 2011

Margin-based ensemble classifier for protein fold recognition.
Expert Syst. Appl., 2011

One-Class-Based Uncertain Data Stream Learning.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Similarity-Based Approach for Positive and Unlabeled Learning.
Proceedings of the IJCAI 2011, 2011

Soft subspace clustering with competitive agglomeration.
Proceedings of the FUZZ-IEEE 2011, 2011

Coupled nominal similarity in unsupervised learning.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

e-NSP: efficient negative sequential pattern mining based on identified positive patterns without database rescanning.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Obtaining an Optimal MAS Configuration for Agent-Enhanced Mining Using Constraint Optimization.
Proceedings of the Agents and Data Mining Interaction, 2011

2010
Flexible Frameworks for Actionable Knowledge Discovery.
IEEE Trans. Knowl. Data Eng., 2010

Domain-Driven Data Mining: Challenges and Prospects.
IEEE Trans. Knowl. Data Eng., 2010

In-depth behavior understanding and use: The behavior informatics approach.
Inf. Sci., 2010

Multi-agent system for customer relationship management with SVMs tool.
Int. J. Intell. Inf. Database Syst., 2010

Time-Sensitive Feature Mining for Temporal Sequence Classification.
Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010

An Efficient GA-Based Algorithm for Mining Negative Sequential Patterns.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Combining Support Vector Machines and the <i>t</i>-statistic for Gene Selection in DNA Microarray Data Analysis.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

A Novel Prototype Reduction Method for the <i>K</i>-Nearest Neighbor Algorithm with <i>K</i> >= 1.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Detecting abnormal coupled sequences and sequence changes in group-based manipulative trading behaviors.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Testing Adaptive Local Hyperplane for multi-class classification by double cross-validation.
Proceedings of the International Joint Conference on Neural Networks, 2010

Enhanced co-occurrence distances for categorical data in unsupervised learning.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Less Effort, More Outcomes: Optimising Debt Recovery with Decision Trees.
Proceedings of the ICDMW 2010, 2010

SMILE: A Similarity-Based Approach for Multiple Instance Learning.
Proceedings of the ICDM 2010, 2010

i-Analyst: An Agent-Based Distributed Data Mining Platform.
Proceedings of the ICDMW 2010, 2010

Exploiting Local Data Uncertainty to Boost Global Outlier Detection.
Proceedings of the ICDM 2010, 2010

Vote-Based LELC for Positive and Unlabeled Textual Data Streams.
Proceedings of the ICDMW 2010, 2010

K-farthest-neighbors-based concept boundary determination for support vector data description.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Orientation distance-based discriminative feature extraction for multi-class classification.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Integrating Workflow into Agent-Based Distributed Data Mining Systems.
Proceedings of the Agents and Data Mining Interaction, 2010

2009
Metasynthesis: M-Space, M-Interaction, and M-Computing for Open Complex Giant Systems.
IEEE Trans. Syst. Man Cybern. Part A, 2009

A bi-modal face recognition framework integrating facial expression with facial appearance.
Pattern Recognit. Lett., 2009

Developing actionable trading agents.
Knowl. Inf. Syst., 2009

Customer Activity Sequence Classification for Debt Prevention in Social Security.
J. Comput. Sci. Technol., 2009

Agent Mining: The Synergy of Agents and Data Mining.
IEEE Intell. Syst., 2009

Guest Editors' Introduction: Agents and Data Mining.
IEEE Intell. Syst., 2009

Novel Intrusion Detection using Probabilistic Neural Network and Adaptive Boosting
CoRR, 2009

Adaptive Anomaly Detection of Coupled Activity Sequences.
IEEE Intell. Informatics Bull., 2009

Behavior Informatics: An Informatics Perspective for Behavior Studies.
IEEE Intell. Informatics Bull., 2009

Expression-invariant Facial Identification.
Proceedings of the IEEE International Conference on Systems, 2009

Debt Detection in Social Security by Sequence Classification Using Both Positive and Negative Patterns.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Mining Both Positive and Negative Impact-Oriented Sequential Rules from Transactional Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Debt Detection in Social Security by Adaptive Sequence Classification.
Proceedings of the Knowledge Science, 2009

A Cost-Effective LSH Filter for Fast Pairwise Mining.
Proceedings of the ICDM 2009, 2009

Multi-sphere Support Vector Data Description for Outliers Detection on Multi-distribution Data.
Proceedings of the ICDM Workshops 2009, 2009

Editorial to the Proceedings of mobile technologies in enterprise computing systems workshop (MTECS 2009).
Proceedings of the Workshops Proceedings of the 12th IEEE International Enterprise Distributed Object Computing Conference, 2009

Negative-GSP: An Efficient Method for Mining Negative Sequential Patterns.
Proceedings of the Eighth Australasian Data Mining Conference, AusDM 2009, Melbourne, 2009

Ubiquitous Intelligence in Agent Mining.
Proceedings of the Agents and Data Mining Interaction, 4th International Workshop, 2009

Data Mining in Financial Markets.
Proceedings of the Advanced Data Mining and Applications, 5th International Conference, 2009

Introduction to Agent Mining Interaction and Integration.
Proceedings of the Data Mining and Multi-agent Integration, 2009

2008
Engineering Open Complex Agent Systems: A Case Study.
IEEE Trans. Syst. Man Cybern. Part C, 2008

Mining Impact-Targeted Activity Patterns in Imbalanced Data.
IEEE Trans. Knowl. Data Eng., 2008

Market Microstructure Patterns Powering Trading and Surveillance Agents.
J. Univers. Comput. Sci., 2008

Intelligence Metasynthesis and Knowledge Processing in Intelligent Systems.
J. Univers. Comput. Sci., 2008

Knowledge Processing in Intelligent Systems.
J. Univers. Comput. Sci., 2008

Integrating Agent, Service and Organizational Computing.
Int. J. Softw. Eng. Knowl. Eng., 2008

Activity Mining: from Activities to Actions.
Int. J. Inf. Technol. Decis. Mak., 2008

Mining in-depth patterns in stock market.
Int. J. Intell. Syst. Technol. Appl., 2008

An integrated investment decision-support framework analysing and synthesising multidimensional market dynamics.
Int. J. Intell. Syst. Technol. Appl., 2008

A Chinese question classification using one-vs-one method as a learning tool.
Int. J. Intell. Inf. Database Syst., 2008

Book Review: Computational Methods of Feature Selection.
IEEE Intell. Informatics Bull., 2008

Efficient Mining of Event-Oriented Negative Sequential Rules.
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008

Mining Exceptional Activity Patterns in Microstructure Data.
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008

Domain-Driven Local Exceptional Pattern Mining for Detecting Stock Price Manipulation.
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

Outlier Mining on Multiple Time Series Data in Stock Market.
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

Combined Association Rule Mining.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Multi-agent System for Custom Relationship Management with SVMs Tool.
Proceedings of the Agent and Multi-Agent Systems: Technologies and Applications, 2008

Agent Collaboration for Multiple Trading Strategy Integration.
Proceedings of the Agent and Multi-Agent Systems: Technologies and Applications, 2008

Spatial-temporal attention analysis for home video.
Proceedings of the 2008 IEEE International Conference on Multimedia and Expo, 2008

Multi-Space-Mapped SVMs for Multi-class Classification.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Behavior Informatics and Analytics: Let Behavior Talk.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Domain Driven Data Mining (D3M).
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

F-TRADE 3.0: An Agent-Based Integrated Framework for Data Mining Experiments.
Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008

Exception Mining on Multiple Time Series in Stock Market.
Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008

EOCS-MCP 2008 Workshop Organization.
Proceedings of the 32nd Annual IEEE International Computer Software and Applications Conference, 2008

Message from the EOCS-MCP 2008 Workshop Organizers.
Proceedings of the 32nd Annual IEEE International Computer Software and Applications Conference, 2008

Metasynthetic Computing for Solving Open Complex Problems.
Proceedings of the 32nd Annual IEEE International Computer Software and Applications Conference, 2008

Combined Pattern Mining: From Learned Rules to Actionable Knowledge.
Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

2007
DDDM2007: Domain Driven Data Mining.
SIGKDD Explor., 2007

The Evolution of KDD: towards Domain-Driven Data Mining.
Int. J. Pattern Recognit. Artif. Intell., 2007

Knowledge actionability: satisfying technical and business interestingness.
Int. J. Bus. Intell. Data Min., 2007

Domain-Driven, Actionable Knowledge Discovery.
IEEE Intell. Syst., 2007

Evolutionary Optimization of Trading Strategies.
Proceedings of the Applications of Data Mining in E-Business and Finance, 2007

Mining High Impact Exceptional Behavior Patterns.
Proceedings of the Emerging Technologies in Knowledge Discovery and Data Mining, 2007

Towards Business Interestingness in Actionable Knowledge Discovery.
Proceedings of the Applications of Data Mining in E-Business and Finance, 2007

Building Agent Service Oriented Multi-Agent Systems.
Proceedings of the Agent and Multi-Agent Systems: Technologies and Applications, 2007

Detecting Turning Points of Trading Price and Return Volatility for Market Surveillance Agents.
Proceedings of the 2007 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2007

Developing Actionable Trading Strategies for Trading Agents.
Proceedings of the 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2007

Multi-strategy Integration for Actionable Trading Agents.
Proceedings of the 2007 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2007

Class Association Rule Mining with Multiple Imbalanced Attributes.
Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007

F-trade: an agent-mining symbiont for financial services.
Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), 2007

Agent-Mining Interaction: An Emerging Area.
Proceedings of the Autonomous Intelligent Systems: Multi-Agents and Data Mining, 2007

2006
Ontology-based integration of business intelligence.
Web Intell. Agent Syst., 2006

Domain-Driven Data Mining: A Practical Methodology.
Int. J. Data Warehous. Min., 2006

Intelligence Metasynthesis in Building Business Intelligence Systems.
Proceedings of the Web Intelligence Meets Brain Informatics, 2006

Fuzzy Genetic Algorithms for Pairs Mining.
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

Domain-Driven Actionable Knowledge Discovery in the Real World.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Stock Data Mining through Fuzzy Genetic Algorithms.
Proceedings of the 2006 Joint Conference on Information Sciences, 2006

Discovering Debtor Patterns of Centrelink Customers.
Proceedings of the Data Mining and Analytics 2006, 2006

Ontological Engineering in Data Warehousing.
Proceedings of the Frontiers of WWW Research and Development, 2006

Domain-Driven Data Mining: Methodologies and Applications.
Proceedings of the Advances in Intelligent IT, 2006

Agent Services-Oriented Architectural Design of a Framework for Artificial Stock Markets.
Proceedings of the Advances in Intelligent IT, 2006

Activity Mining: Challenges and Prospects.
Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006

2005
Agent Services-Orinted Architectural Design of Open Complex Agent Systems.
Proceedings of the 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2005

Genetic Algorithms for Robust Optimization in Financial Applications.
Proceedings of the IASTED International Conference on Computational Intelligence, 2005

The Visualization of Large Database in Stock Market.
Proceedings of the IASTED International Conference on Databases and Applications, 2005

The Fish-eye Visualization of Foreign Currency Exchange Data Streams.
Proceedings of the Asia-Pacific Symposium on Information Visualisation, 2005

Agents and Data Mining: Mutual Enhancement by Integration.
Proceedings of the Autonomous Intelligent Systems: Agents and Data Mining, 2005

2004
Integration of Business Intelligence Based on Three-Level Ontology Services.
Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 2004

Ontology Services-Based Information Integration in Mining Telecom Business Intelligence.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

Agent Services-Based Infrastructure for Online Assessment of Trading Strategies.
Proceedings of the 2004 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2004), 2004

Integrative Early Requirements Analysis for Agent-Based Systems.
Proceedings of the 4th International Conference on Hybrid Intelligent Systems (HIS 2004), 2004

Agent Services-Driven Plug-and-Play in F-TRADE.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

Ontology Transformation in Multiple Domains.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

2003
Agent-Oriented Metasynthetic Engineering for Decision Making.
Int. J. Inf. Technol. Decis. Mak., 2003

Open Giant Intelligent Information Systems and Its Multiagent-Oriented System Design.
Proceedings of the International Conference on Software Engineering Research and Practice, 2003

Open Giant Intelligent Information Systems and Its Agent-Oriented Analysis and Design.
Proceedings of the Fifteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2003), 2003

Theoretical Evaluation of Ring-Based Architectural Model for Middle Agents in Agent-Based System.
Proceedings of the Foundations of Intelligent Systems, 14th International Symposium, 2003

Systematic Engineering in Designing Architecture of Telecommunications Business Intelligence System.
Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003


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