Yun Sing Koh

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Sketch-Based Replay Projection for Continual Learning.

[BibT_eX]

[DOI]

Jack Julian

Albert Bifet

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Time-Evolving Data Science and Artificial Intelligence for Advanced Open Environmental Science (TAIAO) Programme.

[BibT_eX]

[DOI]

Guilherme Weigert Cassales

Albert Bifet

Karin R. Bryan

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Recurrent Concept Drifts on Data Streams.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Remote Sensing for Water Quality: A Multi-Task, Metadata-Driven Hypernetwork Approach.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Learning After Learning: Positive Backward Transfer in Continual Learning.

[BibT_eX]

[DOI]

Wernsen Wong

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Symmetric Self-Paced Learning for Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Quantile-Regression-Ensemble: A Deep Learning Algorithm for Downscaling Extreme Precipitation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

<i>HT2ML</i>: An efficient hybrid framework for privacy-preserving Machine Learning using HE and TEE.

[BibT_eX]

[DOI]

Comput. Secur., December, 2023

SoK: Human-centered Phishing Susceptibility.

[BibT_eX]

[DOI]

Sijie Zhuo

Robert Biddle

ACM Trans. Priv. Secur., August, 2023

Combining Diverse Meta-Features to Accurately Identify Recurring Concept Drift in Data Streams.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2023

Evaluating software user feedback classifier performance on unseen apps, datasets, and metadata.

[BibT_eX]

[DOI]

Peter Devine

Nalin Asanka Gamagedara Arachchilage

Kelly Blincoe

Empir. Softw. Eng., 2023

GTree: GPU-Friendly Privacy-preserving Decision Tree Training and Inference.

[BibT_eX]

[DOI]

CoRR, 2023

What You See is Not What You Get: The Role of Email Presentation in Phishing Susceptibility.

[BibT_eX]

[DOI]

Sijie Zhuo

Robert Biddle

Lucas Betts

CoRR, 2023

Using Flexible Memories to Reduce Catastrophic Forgetting.

[BibT_eX]

[DOI]

Wernsen Wong

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

A Large-Scale Study of Device and Link Presentation in Email Phishing Susceptibility.

[BibT_eX]

[DOI]

Sijie Zhuo

Robert Biddle

Lucas Betts

Nalin A. G. Arachchilage

Proceedings of the 35th Australian Computer-Human Interaction Conference, 2023

Emotion Recognition ToolKit (ERTK): Standardising Tools For Emotion Recognition Research.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

FALL: A Modular Adaptive Learning Platform for Streaming Data.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Analyzing and repairing concept drift adaptation in data stream classification.

[BibT_eX]

[DOI]

Mach. Learn., 2022

Probabilistic exact adaptive random forest for recurrent concepts in data streams.

[BibT_eX]

[DOI]

Int. J. Data Sci. Anal., 2022

What's Inside a Cluster of Software User Feedback: A Study of Characterisation Methods.

[BibT_eX]

[DOI]

Proceedings of the 30th IEEE International Requirements Engineering Conference, 2022

Measuring Drift Severity by Tree Structure Classifiers.

[BibT_eX]

[DOI]

Di Zhao

Proceedings of the International Joint Conference on Neural Networks, 2022

Cost-Effective Transfer Learning for Data Streams.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

A Probabilistic Framework for Adapting to Changing and Recurring Concepts in Data Streams.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Online Air Pollution Inference using Concept Recurrence and Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Investigation of Explainability Techniques for Multimodal Transformers.

[BibT_eX]

[DOI]

Krithik Ramesh

Proceedings of the Data Mining - 20th Australasian Conference, AusDM 2022, Western Sydney, 2022

Measuring Difficulty of Learning Using Ensemble Methods.

[BibT_eX]

[DOI]

Bowen Chen

Ben Halstead

Proceedings of the Data Mining - 20th Australasian Conference, AusDM 2022, Western Sydney, 2022

Active Learning Using Difficult Instances.

[BibT_eX]

[DOI]

Bowen Chen

Ben Halstead

Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

Semi-supervised Conditional Density Estimation with Wasserstein Laplacian Regularisation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Recurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparency.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2021

Evaluating Software User Feedback Classifiers on Unseen Apps, Datasets, and Metadata.

[BibT_eX]

[DOI]

Peter Devine

Kelly Blincoe

CoRR, 2021

Evaluating Unsupervised Text Embeddings on Software User Feedback.

[BibT_eX]

[DOI]

Peter Devine

Kelly Blincoe

Proceedings of the 29th IEEE International Requirements Engineering Conference Workshops, 2021

Acoustic Features and Neural Representations for Categorical Emotion Recognition from Speech.

[BibT_eX]

[DOI]

Aaron Keesing

Michael Witbrock

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Nacre: Proactive Recurrent Concept Drift Detection in Data Streams.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

A Meta-Learning Approach for Automated Hyperparameter Tuning in Evolving Data Streams.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Continual Correction of Errors Using Smart Memory Replay.

[BibT_eX]

[DOI]

Callum Cory

Proceedings of the International Joint Conference on Neural Networks, 2021

Understanding the Effects of Mitigation on De-identified Data.

[BibT_eX]

[DOI]

Andrew Chester

Junjae Lee

Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021

Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Transfer Learning with Adaptive Online TrAdaBoost for Data Streams.

[BibT_eX]

[DOI]

Proceedings of the Asian Conference on Machine Learning, 2021

2020

Real-time Smartphone Activity Classification Using Inertial Sensors - Recognition of Scrolling, Typing, and Watching Videos While Sitting or Walking.

[BibT_eX]

[DOI]

Sensors, 2020

Towards Knowledgeable Supervised Lifelong Learning Systems.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2020

Balancing Utility and Fairness against Privacy in Medical Data.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Detecting Concept Drift In Medical Triage.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

PEARL: Probabilistic Exact Adaptive Random Forest with Lossy Counting for Data Streams.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

GPU-based State Adaptive Random Forest for Evolving Data Streams.

[BibT_eX]

[DOI]

Ocean Wu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

SLED: Semi-supervised Locally-weighted Ensemble Detector.

[BibT_eX]

[DOI]

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Detecting Protected Health Information with an Incremental Learning Ensemble: A Case Study on New Zealand Clinical Text.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

Feature Drift Detection in Evolving Data Streams.

[BibT_eX]

[DOI]

Di Zhao

Proceedings of the Database and Expert Systems Applications, 2020

2019

Mining local and peak high utility itemsets.

[BibT_eX]

[DOI]

Inf. Sci., 2019

Recurring concept meta-learning for evolving data streams.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2019

Identifying Top-<i>k</i> Nodes in Social Networks: A Survey.

[BibT_eX]

[DOI]

ACM Comput. Surv., 2019

Network Embedding and Change Modeling in Dynamic Heterogeneous Networks.

[BibT_eX]

[DOI]

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Adaptive Self-Sufficient Itemset Miner for Transactional Data Streams.

[BibT_eX]

[DOI]

Feiyang Tang

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Supervised Clinical Abbreviations Detection and Normalisation Approach.

[BibT_eX]

[DOI]

Xiaolong Huang

Edmond Zhang

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Selective Hypothesis Transfer for Lifelong Learning.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Using Transfer Learning to Detect Phishing in Countries with a Small Population.

[BibT_eX]

[DOI]

Wernsen Wong

Proceedings of the Data Mining - 17th Australasian Conference, AusDM 2019, Adelaide, SA, 2019

Classifying Imbalanced Road Accident Data Using Recurring Concept Drift.

[BibT_eX]

[DOI]

Proceedings of the Data Mining - 17th Australasian Conference, AusDM 2019, Adelaide, SA, 2019

Feature Importance for Biomedical Named Entity Recognition.

[BibT_eX]

[DOI]

Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

Items2Data: Generating Synthetic Boolean Datasets from Itemsets.

[BibT_eX]

[DOI]

Ian Shane Wong

Proceedings of the Databases Theory and Applications, 2019

Investigating the effect of novel classes in semi-supervised learning.

[BibT_eX]

[DOI]

Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018

Evaluating the effectiveness of information retrieval systems using effort-based relevance judgment.

[BibT_eX]

[DOI]

Aslib J. Inf. Manag., 2018

Vehicle emission prediction using remote sensing data and machine learning techniques.

[BibT_eX]

[DOI]

Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

Using Supervised Pretraining to Improve Generalization of Neural Networks on Binary Classification Problems.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Predicting Concept Drift in Data Streams Using Metadata Clustering.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Volatility Drift Prediction for Transactional Data Streams.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

Mining Local High Utility Itemsets.

[BibT_eX]

[DOI]

Proceedings of the Database and Expert Systems Applications, 2018

Predicting Air Quality from Low-Cost Sensor Measurements.

[BibT_eX]

[DOI]

Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018

Interpreting Intermittent Bugs in Mozilla Applications Using Change Angle.

[BibT_eX]

[DOI]

Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018

Concept Drift Detector Selection for Hoeffding Adaptive Trees.

[BibT_eX]

[DOI]

Moana Stirling

Sri Devi Ravana

Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

OHC: Uncovering Overlapping Heterogeneous Communities.

[BibT_eX]

[DOI]

Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Lift-Per-Drift: An Evaluation Metric for Classification Frameworks with Concept Drift Detection.

[BibT_eX]

[DOI]

Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Discovering High Utility Change Points in Customer Transaction Data.

[BibT_eX]

[DOI]

Yimin Zhang

Jerry Chun-Wei Lin

Proceedings of the Advanced Data Mining and Applications - 14th International Conference, 2018

2017

Effects of objective and subjective competence on the reliability of crowdsourced relevance judgments.

[BibT_eX]

[DOI]

Inf. Res., 2017

mHUIMiner: A Fast High Utility Itemset Mining Algorithm for Sparse Datasets.

[BibT_eX]

[DOI]

Alex Yuxuan Peng

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Volatility Adaptive Classifier System.

[BibT_eX]

[DOI]

Ruolin Jia

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

AccGenSVM: Selectively Transferring from Previous Hypotheses.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Unsupervised Rare Pattern Mining: A Survey.

[BibT_eX]

[DOI]

Sri Devi Ravana

ACM Trans. Knowl. Discov. Data, 2016

Effect of verbal comprehension skill and self-reported features on reliability of crowdsourced relevance judgments.

[BibT_eX]

[DOI]

Parnia Samimi

Sri Devi Ravana

Comput. Hum. Behav., 2016

Phishing Detection on Twitter Streams.

[BibT_eX]

[DOI]

Se Yeong Jeong

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2016

CD-TDS: Change detection in transactional data streams for frequent pattern mining.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Proactive drift detection: Predicting concept drifts in data streams using probabilistic networks.

[BibT_eX]

[DOI]

Kylie Chen

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

CPF: Concept Profiling Framework for Recurring Drifts in Data Streams.

[BibT_eX]

[DOI]

Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016

2015

Rare Pattern Mining from Data Streams Using SRP-Tree and Its Variants.

[BibT_eX]

[DOI]

Trans. Large Scale Data Knowl. Centered Syst., 2015

A graph based approach to inferring item weights for pattern mining.

[BibT_eX]

[DOI]

Songwut Pisalpanus

Expert Syst. Appl., 2015

Drift Detection Using Stream Volatility.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

HI-Tree: Mining High Influence Patterns Using External and Internal Utility Values.

[BibT_eX]

[DOI]

Proceedings of the Big Data Analytics and Knowledge Discovery, 2015

StreamXM: An Adaptive Partitional Clustering Solution for Evolving Data Streams.

[BibT_eX]

[DOI]

Proceedings of the Big Data Analytics and Knowledge Discovery, 2015

Unsupervised Semantic and Syntactic Based Classification of Scientific Citations.

[BibT_eX]

[DOI]

Mohammad Abdullatif

Proceedings of the Big Data Analytics and Knowledge Discovery, 2015

Tracking Drift Severity in Data Streams.

[BibT_eX]

[DOI]

Kylie Chen

Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015

2014

Web usage mining based recommender systems using implicit heterogeneous data: - A Particle Swarm Optimization based clustering approach.

[BibT_eX]

[DOI]

Web Intell. Agent Syst., 2014

Research on particle swarm optimization based clustering: A systematic review of literature and techniques.

[BibT_eX]

[DOI]

Swarm Evol. Comput., 2014

Detecting concept change in dynamic data streams - A sequential approach based on reservoir sampling.

[BibT_eX]

[DOI]

Sripirakas Sakthithasan

Mach. Learn., 2014

SPAN: Finding collaborative frauds in online auctions.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2014

Efficient negative association rule mining based on chance thresholds.

[BibT_eX]

[DOI]

Intell. Data Anal., 2014

Detecting online auction shilling frauds using supervised learning.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2014

Detection of abnormal profiles on group attacks in recommender systems.

[BibT_eX]

[DOI]

Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Detecting Changes in Rare Patterns from Data Streams.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Attack detection in recommender systems based on target item analysis.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Detecting Volatility Shift in Data Streams.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Drift Detector for Memory-Constrained Environments.

[BibT_eX]

[DOI]

Proceedings of the Data Warehousing and Knowledge Discovery, 2014

Web bots detection using Particle Swarm Optimization based clustering.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013

Finding Interesting Rare Association Rules Using Rare Pattern Tree.

[BibT_eX]

[DOI]

Trans. Large Scale Data Knowl. Centered Syst., 2013

Efficient Single Pass Ordered Incremental Pattern Mining.

[BibT_eX]

[DOI]

Trans. Large Scale Data Knowl. Centered Syst., 2013

Weighted association rule mining via a graph based connectivity model.

[BibT_eX]

[DOI]

Inf. Sci., 2013

Clustering heterogeneous web usage data using Hierarchical Particle Swarm Optimization.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Symposium on Swarm Intelligence, 2013

One Pass Concept Change Detection for Data Streams.

[BibT_eX]

[DOI]

Sripirakas Sakthithasan

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Analysis of Web Usage Data for Clustering Based Recommender System.

[BibT_eX]

[DOI]

Proceedings of the Trends in Practical Applications of Agents and Multiagent Systems, 2013

Finding Maximal Overlapping Communities.

[BibT_eX]

[DOI]

Eileen H.-C. Wei

Proceedings of the Data Warehousing and Knowledge Discovery, 2013

Verb selection using semantic role labeling for citation classification.

[BibT_eX]

[DOI]

Proceedings of the 2013 workshop on Computational scientometrics: theory & applications, 2013

Change Itemset Mining in Data Streams.

[BibT_eX]

[DOI]

Minmin Zhang

Proceedings of the Advanced Data Mining and Applications, 9th International Conference, 2013

Tracking Drift Types in Changing Data Streams.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications, 9th International Conference, 2013

2012

WeightTransmitter: Weighted Association Rule Mining Using Landmark Weights.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Evaluating Fraud Detection Algorithms Using an Auction Data Generator.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Extrapolation Prefix Tree for Data Stream Mining Using a Landmark Model.

[BibT_eX]

[DOI]

Proceedings of the Data Warehousing and Knowledge Discovery, 2012

Rare Pattern Mining on Data Streams.

[BibT_eX]

[DOI]

Proceedings of the Data Warehousing and Knowledge Discovery, 2012

Hierarchical PSO clustering based recommender system.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Indirect Weighted Association Rules Mining for Academic Network Collaboration Recommendations.

[BibT_eX]

[DOI]

Proceedings of the Tenth Australasian Data Mining Conference, AusDM 2012, Sydney, 2012

Generating Realistic Online Auction Data.

[BibT_eX]

[DOI]

Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

Kernel-Tree: Mining Frequent Patterns in a Data Stream Based on Forecast Support.

[BibT_eX]

[DOI]

Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

2011

Automatic Item Weight Generation for Pattern Mining and its Application.

[BibT_eX]

[DOI]

Int. J. Data Warehous. Min., 2011

Weighted Association Rule Mining Using Particle Swarm Optimization.

[BibT_eX]

[DOI]

Proceedings of the New Frontiers in Applied Data Mining, 2011

Automatic Assignment of Item Weights for Pattern Mining on Data Streams.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

RP-Tree: Rare Pattern Tree Mining.

[BibT_eX]

[DOI]

Proceedings of the Data Warehousing and Knowledge Discovery, 2011

SPO-Tree: Efficient Single Pass Ordered Incremental Pattern Mining.

[BibT_eX]

[DOI]

Proceedings of the Data Warehousing and Knowledge Discovery, 2011

Discriminatory Confidence Analysis in Pattern Mining.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011

2010

Valency Based Weighted Association Rule Mining.

[BibT_eX]

[DOI]

Wai-Kiang Yeap

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

EWGen: Automatic Generation of Item Weights for Weighted Association Rule Mining.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010

2009

CBDT: A Concept Based Approach to Data Stream Mining.

[BibT_eX]

[DOI]

Stefan Hoeglinger

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Non-Redundant Rare Itemset Generation.

[BibT_eX]

[DOI]

Proceedings of the Eighth Australasian Data Mining Conference, AusDM 2009, Melbourne, 2009

2008

Mining interesting imperfectly sporadic rules.

[BibT_eX]

[DOI]

Nathan Rountree

Richard A. O'Keefe

Knowl. Inf. Syst., 2008

Finding sporadic rules in the diagnosis of the Erythemato-Squamous diseases.

[BibT_eX]

[DOI]

Intell. Data Anal., 2008

Transaction Clustering Using a Seeds Based Approach.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Mining Non-coincidental Rules without a User Defined Support Threshold.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Rare Association Rule Mining via Transaction Clustering.

[BibT_eX]

[DOI]

Proceedings of the Data Mining and Analytics 2008, 2008

2007

Efficiently Finding Negative Association Rules Without Support Threshold.

[BibT_eX]

[DOI]

Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007

2006

Finding Non-Coincidental Sporadic Rules Using Apriori-Inverse.

[BibT_eX]

[DOI]

Nathan Rountree

Richard A. O'Keefe

Int. J. Data Warehous. Min., 2006

2005

Finding Sporadic Rules Using Apriori-Inverse.

[BibT_eX]

[DOI]