Richi Nayak

Orcid: 0000-0002-9954-0159

Affiliations:
  • Queensland University of Technology, Brisbane, QLD, Australia


According to our database1, Richi Nayak authored at least 232 papers between 2002 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
A novel multi-modal fusion method based on uncertainty-guided meta-learning.
Pattern Recognit., 2025

2024
Twitter's pulse on hydrogen energy in 280 characters: a data perspective.
Soc. Netw. Anal. Min., December, 2024

Ensemble Learning with Pre-Trained Transformers for Crash Severity Classification: A Deep NLP Approach.
Algorithms, July, 2024

Conditional Generative Adversarial Network for Early Classification of Longitudinal Datasets Using an Imputation Approach.
ACM Trans. Knowl. Discov. Data, June, 2024

Joint Representation Learning with Generative Adversarial Imputation Network for Improved Classification of Longitudinal Data.
Data Sci. Eng., March, 2024

Pre-gating and contextual attention gate - A new fusion method for multi-modal data tasks.
Neural Networks, 2024

DCCNMF: Deep Complementary and Consensus Non-negative Matrix Factorization for multi-view clustering.
Knowl. Based Syst., 2024

Improved prediction of biomass gasification models through machine learning.
Comput. Chem. Eng., 2024

2023
Exploring topic models to discern cyber threats on Twitter: A case study on Log4Shell.
Intell. Syst. Appl., November, 2023

Mining Discriminative Itemsets Over Data Streams Using Efficient Sliding Window.
SN Comput. Sci., September, 2023

DAC: Discriminative Associative Classification.
SN Comput. Sci., July, 2023

Explainability of the COVID-19 epidemiological model with nonnegative tensor factorization.
Int. J. Data Sci. Anal., April, 2023

Multi-aspect Learning - Methods and Applications
Intelligent Systems Reference Library 242, Springer, ISBN: 978-3-031-33559-4, 2023

Machine learning for predicting propensity-to-pay energy bills.
Intell. Syst. Appl., 2023

ALGAN: Time Series Anomaly Detection with Adjusted-LSTM GAN.
CoRR, 2023

Informed Machine Learning, Centrality, CNN, Relevant Document Detection, Repatriation of Indigenous Human Remains.
CoRR, 2023

GAN-IE: Generative Adversarial Network for Information Extraction with Limited Annotated Data.
Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

Enhanced Topic Modeling with Multi-modal Representation Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

2022
Learning Inter- and Intra-Manifolds for Matrix Factorization-Based Multi-Aspect Data Clustering.
IEEE Trans. Knowl. Data Eng., 2022

Deep learning based topic and sentiment analysis: COVID19 information seeking on social media.
Soc. Netw. Anal. Min., 2022

Multi-layer manifold learning for deep non-negative matrix factorization-based multi-view clustering.
Pattern Recognit., 2022

DISSparse: Efficient Mining of Discriminative Itemsets.
J. Inf. Knowl. Manag., 2022

A Comparative Look at the Resilience of Discriminative and Generative Classifiers to Missing Data in Longitudinal Datasets.
Proceedings of the Data Mining - 20th Australasian Conference, AusDM 2022, Western Sydney, 2022

Latent Pattern Identification Using Orthogonal-Constraint Coupled Nonnegative Matrix Factorization.
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

Machine Learning for Identifying Abusive Content in Text Data.
Proceedings of the Advances in Selected Artificial Intelligence Areas, 2022

2021
Column-Wise Element Selection for Computationally Efficient Nonnegative Coupled Matrix Tensor Factorization.
IEEE Trans. Knowl. Data Eng., 2021

Active Learning for Effectively Fine-Tuning Transfer Learning to Downstream Task.
ACM Trans. Intell. Syst. Technol., 2021

Progressive domain adaptation for detecting hate speech on social media with small training set and its application to COVID-19 concerned posts.
Soc. Netw. Anal. Min., 2021

Identifying Covid-19 misinformation tweets and learning their spatio-temporal topic dynamics using Nonnegative Coupled Matrix Tensor Factorization.
Soc. Netw. Anal. Min., 2021

DeLTa: Deep local pattern representation for time-series clustering and classification using visual perception.
Knowl. Based Syst., 2021

Mining discriminative itemsets in data streams using the tilted-time window model.
Knowl. Inf. Syst., 2021

Discovering cluster evolution patterns with the Cluster Association-aware matrix factorization.
Knowl. Inf. Syst., 2021

NOCOL - Nonnegative Orthogonal Constraint Outlier Learning.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

Exploring Fusion Strategies in Deep Learning Models for Multi-Modal Classification.
Proceedings of the Data Mining, 2021

PostMatch: A Framework for Efficient Address Matching.
Proceedings of the Data Mining, 2021

Investigation of Topic Modelling Methods for Understanding the Reports of the Mining Projects in Queensland.
Proceedings of the Data Mining, 2021

A Semi-automatic Data Extraction System for Heterogeneous Data Sources: a Case Study from Cotton Industry.
Proceedings of the Data Mining, 2021

Deep Learning for Bias Detection: From Inception to Deployment.
Proceedings of the Data Mining, 2021

Nonnegative Matrix Factorization to Understand Spatio-Temporal Traffic Pattern Variations During COVID-19: A Case Study.
Proceedings of the Data Mining, 2021

2020
Efficient Nonnegative Tensor Factorization via Saturating Coordinate Descent.
ACM Trans. Knowl. Discov. Data, 2020

Efficient Outlier Detection in Text Corpus Using Rare Frequency and Ranking.
ACM Trans. Knowl. Discov. Data, 2020

PaperMiner - a real-time spatiotemporal visualization for newspaper articles.
Digit. Scholarsh. Humanit., 2020

Regularising LSTM classifier by transfer learning for detecting misogynistic tweets with small training set.
Knowl. Inf. Syst., 2020

Reducing redundancy of test cases generation using code smell detection and refactoring.
J. King Saud Univ. Comput. Inf. Sci., 2020

Topic, Sentiment and Impact Analysis: COVID19 Information Seeking on Social Media.
CoRR, 2020

Propensity-to-Pay: Machine Learning for Estimating Prediction Uncertainty.
CoRR, 2020

Columnwise Element Selection for Computationally Efficient Nonnegative Coupled Matrix Tensor Factorization.
CoRR, 2020

Adaptive Data Replication Optimization Based on Reinforcement Learning.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Discovering Communities with SGNS Modelling-based Network connections and Text communications Clustering.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

TAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Understanding the Spatio-temporal Topic Dynamics of Covid-19 using Nonnegative Tensor Factorization: A Case Study.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Deep Hierarchical Non-negative Matrix Factorization for Clustering Short Text.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Unsupervised Visual Time-Series Representation Learning and Clustering.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

A Novel Approach to Learning Consensus and Complementary Information for Multi-View Data Clustering.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019
Understanding the Lifestyle of Older Population: Mobile Crowdsensing Approach.
IEEE Trans. Comput. Soc. Syst., 2019

FCMiner: mining functional communities in social networks.
Soc. Netw. Anal. Min., 2019

MH-DAGMiner: maximal hierarchical sub-DAG mining in directed weighted networks.
Knowl. Inf. Syst., 2019

Adaptive load forecasting using reinforcement learning with database technology.
J. Inf. Telecommun., 2019

A novel machine learning approach for database exploitation detection and privilege control.
J. Inf. Telecommun., 2019

Parallel K-Tree: A multicore, multinode solution to extreme clustering.
Future Gener. Comput. Syst., 2019

Fine-grained Type Inference in Knowledge Graphs via Probabilistic and Tensor Factorization Methods.
Proceedings of the World Wide Web Conference, 2019

Transfer Learning via Feature Selection Based Nonnegative Matrix Factorization.
Proceedings of the Web Information Systems Engineering - WISE 2019, 2019

Sparsity Constraint Nonnegative Tensor Factorization for Mobility Pattern Mining.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Multi-type Relational Data Clustering for Community Detection by Exploiting Content and Structure Information in Social Networks.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Concept Mining in Online Forums Using Self-corpus-Based Augmented Text Clustering.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Adaptive Database's Performance Tuning Based on Reinforcement Learning.
Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2019

QutNocturnal@HASOC'19: CNN for Hate Speech and Offensive Content Identification in Hindi Language.
Proceedings of the Working Notes of FIRE 2019, 2019

Data Replication Optimization Using Simulated Annealing.
Proceedings of the Data Mining - 17th Australasian Conference, AusDM 2019, Adelaide, SA, 2019

2018
Fine-grained document clustering via ranking and its application to social media analytics.
Soc. Netw. Anal. Min., 2018

A Novel Technique of Using Coupled Matrix and Greedy Coordinate Descent for Multi-view Data Representation.
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

An Efficient Ranking-Centered Density-Based Document Clustering Method.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Nonnegative Coupled Matrix Tensor Factorization for Smart City Spatiotemporal Pattern Mining.
Proceedings of the Machine Learning, Optimization, and Data Science, 2018

A Concise Social Network Representation with Flow Hierarchy Using Frequent Interactions.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Corpus-Based Augmented Media Posts with Density-Based Clustering for Community Detection.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Contextual Anomaly Detection in Spatio-Temporal Data Using Locally Dense Regions.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Organizing Visions in Online Social Networks: The Role of Community Heterogeneity and Real-time Engagement.
Proceedings of the International Conference on Information Systems, 2018

Understanding Urban Spatio-Temporal Usage Patterns Using Matrix Tensor Factorization.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Learning Association Relationship and Accurate Geometric Structures for Multi-Type Relational Data.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

An Approach to Compress and Represents Time Series Data and Its Application in Electric Power Utilities.
Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018

A Novel Learning-to-Rank Method for Automated Camera Movement Control in E-Sports Spectating.
Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018

Misogynistic Tweet Detection: Modelling CNN with Small Datasets.
Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018

Discovering Influence Hierarchy Based on Frequent Social Interactions.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

A Novel Database Exploitation Detection and Privilege Control System Using Data Mining.
Proceedings of the Modern Approaches for Intelligent Information and Database Systems,, 2018

A Novel Load Forecasting System Leveraging Database Technology.
Proceedings of the Modern Approaches for Intelligent Information and Database Systems,, 2018

2017
Spatial Information Recognition in Web Documents Using a Semi-supervised Machine Learning Method.
Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

Efficient mining of discriminative itemsets.
Proceedings of the International Conference on Web Intelligence, 2017

Identifying Points of Interest for Elderly in Singapore through Mobile Crowdsensing.
Proceedings of the SMARTGREENS 2017, 2017

Extracting point of interest and classifying environment for low sampling crowd sensing smartphone sensor data.
Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, 2017

Using web services to fuse remote sensing and multimedia data repositories.
Proceedings of the Australasian Computer Science Week Multiconference, 2017

2016
How Relevant is the Irrelevant Data: Leveraging the Tagging Data for a Learning-to-Rank Model.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

WIMBY: What's in My Backyard?
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Introducing the Sky and the Social Eye.
Proceedings of the Working Notes Proceedings of the MediaEval 2016 Workshop, 2016

Efficient Feature Selection and Nearest Neighbour Search for Hyperspectral Image Classification.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

Using parallel hierarchical clustering to address spatial big data challenges.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Injury narrative text classification using factorization model.
BMC Medical Informatics Decis. Mak., 2015

Parallel Streaming Signature EM-tree: A Clustering Algorithm for Web Scale Applications.
Proceedings of the 24th International Conference on World Wide Web, 2015

Semi-supervised Document Clustering via Loci.
Proceedings of the Web Information Systems Engineering - WISE 2015, 2015

FreeS: A Fast Algorithm to Discover Frequent Free Subtrees Using a Novel Canonical Form.
Proceedings of the Web Information Systems Engineering - WISE 2015, 2015

Do-Rank: DCG Optimization for Learning-to-Rank in Tag-Based Item Recommendation Systems.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Robust clustering of multi-type relational data via a heterogeneous manifold ensemble.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Understanding People Relationship: Analysis of Digitised Historical Newspaper Articles.
Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015

Finding Within-Organisation Spatial Information on the Web.
Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015

2014
A people-to-people matching system using graph mining techniques.
World Wide Web, 2014

Tensor-based item recommendation using probabilistic ranking in social tagging systems.
Proceedings of the 23rd International World Wide Web Conference, 2014

Mining Discriminative Itemsets in Data Streams.
Proceedings of the Web Information Systems Engineering - WISE 2014, 2014

BOSTER: An Efficient Algorithm for Mining Frequent Unordered Induced Subtrees.
Proceedings of the Web Information Systems Engineering - WISE 2014, 2014

A Two-Stage Item Recommendation Method Using Probabilistic Ranking with Reconstructed Tensor Model.
Proceedings of the User Modeling, Adaptation, and Personalization, 2014

BEST: An Efficient Algorithm for Mining Frequent Unordered Embedded Subtrees.
Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014

Ranking Based Clustering for Social Event Detection.
Proceedings of the Working Notes Proceedings of the MediaEval 2014 Workshop, 2014

The Ranking Based Constrained Document Clustering Method and Its Application to Social Event Detection.
Proceedings of the Database Systems for Advanced Applications, 2014

Clustering and Labeling a Web Scale Document Collection using Wikipedia clusters.
Proceedings of the 5th International Workshop on Web-scale Knowledge Representation Retrieval & Reasoning, 2014

Two-way Recommendation Methods for Social Networks.
Proceedings of the 7th Workshop on Ph.D Students, 2014

Injury Narrative Text Classification: A Preliminary Study.
Proceedings of the ACM 8th International Workshop on Data and Text Mining in Bioinformatics, 2014

A Case Study of Utilising Concept Knowledge in a Topic Specific Document Collection.
Proceedings of the Twelfth Australasian Data Mining Conference, AusDM 2014, Brisbane, 2014

Detecting Digital Newspaper Duplicates with Focus on eliminating OCR errors.
Proceedings of the Twelfth Australasian Data Mining Conference, AusDM 2014, Brisbane, 2014

An Efficient Tagging Data Interpretation and Representation Scheme for Item Recommendation.
Proceedings of the Twelfth Australasian Data Mining Conference, AusDM 2014, Brisbane, 2014

Identifying Product Families Using Data Mining Techniques in Manufacturing Paradigm.
Proceedings of the Twelfth Australasian Data Mining Conference, AusDM 2014, Brisbane, 2014

2013
A data analytics case study assessing factors affecting pavement deflection values.
Int. J. Bus. Intell. Data Min., 2013

The Heterogeneous Cluster Ensemble Method Using Hubness for Clustering Text Documents.
Proceedings of the Web Information Systems Engineering - WISE 2013, 2013

A Novel Method for Finding Similarities between Unordered Trees Using Matrix Data Model.
Proceedings of the Web Information Systems Engineering - WISE 2013, 2013

A Reciprocal Collaborative Method Using Relevance Feedback and Feature Importance.
Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence, 2013

A Recommendation Approach Dealing with Multiple Market Segments.
Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence, 2013

A semi-supervised graph-based algorithm for detecting outliers in online-social-networks.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

Users segmentations for recommendation.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

ADMRG @ MediaEval 2013 Social Event Detection.
Proceedings of the MediaEval 2013 Multimedia Benchmark Workshop, 2013

A data mining driven risk profiling method for road asset management.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

A Rule-Based Hybrid Method for Anomaly Detection in Online-Social-Network Graphs.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

2012
Leveraging the network information for evaluating answer quality in a collaborative question answering portal.
Soc. Netw. Anal. Min., 2012

Discovering interesting information with advances in web technology.
SIGKDD Explor., 2012

Analyzing the Effectiveness of Graph Metrics for Anomaly Detection in Online Social Networks.
Proceedings of the Web Information Systems Engineering - WISE 2012, 2012

A people-to-people recommendation system using tensor space models.
Proceedings of the ACM Symposium on Applied Computing, 2012

A common neighbour based two-way collaborative recommendation method.
Proceedings of the ACM Symposium on Applied Computing, 2012

A data analytics application assessing pavement deflection factors for a road network.
Proceedings of the 14th International Conference on Information Integration and Web-based Applications & Services, IIWAS '12, Bali, Indonesia, 2012

Grouping people in social networks using a weighted multi-constraints clustering method.
Proceedings of the FUZZ-IEEE 2012, 2012

Finding additional semantic entity information for search engines.
Proceedings of the Seventeenth Australasian Document Computing Symposium, 2012

2011
Report on INEX 2010.
SIGIR Forum, 2011

Personalised search - a hybrid approach for web information retrieval and its evaluation.
Int. J. Knowl. Web Intell., 2011

XML data clustering: An overview.
ACM Comput. Surv., 2011

The Hidden Web, XML and Semantic Web: A Scientific Data Management Perspective
CoRR, 2011

Improving web database search incorporating users query information.
Proceedings of the International Conference on Web Intelligence, Mining and Semantics, 2011

Utilizing Past Relations and User Similarities in a Social Matching System.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

XML Documents Clustering Using a Tensor Space Model.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

The hidden web, XML and the Semantic Web: scientific data management perspectives.
Proceedings of the EDBT 2011, 2011

Road crash proneness prediction using data mining.
Proceedings of the EDBT 2011, 2011

Assessment of Cardiovascular Disease Risk Prediction Models: Evaluation Methods.
Proceedings of the Database Systems for Advanced Applications, 2011

Social network analysis of an online dating network.
Proceedings of the Fifth International Conference on Communities and Technologies, 2011

A Recommendation Method for Online Dating Networks Based on Social Relations and Demographic Information.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011

Finding and Matching Communities in Social Networks Using Data Mining.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011

Aggregate Distance Based Clustering Using Fibonacci Series-FIBCLUS.
Proceedings of the Web Technologies and Applications - 13th Asia-Pacific Web Conference, 2011

Effective Hybrid Recommendation Combining Users-Searches Correlations Using Tensors.
Proceedings of the Web Technologies and Applications - 13th Asia-Pacific Web Conference, 2011

Improving Matching Process in Social Network Using Implicit and Explicit User Information.
Proceedings of the Web Technologies and Applications - 13th Asia-Pacific Web Conference, 2011

2010
Report on INEX 2009.
SIGIR Forum, 2010

Element similarity measures in XML schema matching.
Inf. Sci., 2010

A Hybrid Approach of Personalized Web Information Retrieval.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010

Overview of the INEX 2010 XML Mining Track: Clustering and Classification of XML Documents.
Proceedings of the Comparative Evaluation of Focused Retrieval, 2010

Semantics-Based Web Service Discovery Using Information Retrieval Techniques.
Proceedings of the Comparative Evaluation of Focused Retrieval, 2010

Theoretical Model of User Acceptance: In the View of Measuring Success in Web Personalization.
Proceedings of the Human-Computer Interaction - Second IFIP TC 13 Symposium, 2010

Combining Schema and Level-Based Matching for Web Service Discovery.
Proceedings of the Web Engineering, 10th International Conference, 2010

Recommender System Framework Using Clustering and Collaborative Filtering.
Proceedings of the 3rd International Conference on Emerging Trends in Engineering and Technology, 2010

A Social Matching System for an Online Dating Network: A Preliminary Study.
Proceedings of the ICDMW 2010, 2010

XML Documents Clustering Using Tensor Space Model -- A Preliminary Study.
Proceedings of the ICDMW 2010, 2010

Improving Matching Process in Social Network.
Proceedings of the ICDMW 2010, 2010

Connecting users and items with weighted tags for personalized item recommendations.
Proceedings of the HT'10, 2010

Personalized recommender system based on item taxonomy and folksonomy.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Evaluation of a hybrid approach of personalized web information retrieval using the FIRE data set.
Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India, 2010

2009
Discovering Knowledge from XML Documents.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Generating rules with predicates, terms and variables from the pruned neural networks.
Neural Networks, 2009

Personalized Recommender Systems Integrating Social Tags and Item Taxonomy.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 2009

Tag Based Collaborative Filtering for Recommender Systems.
Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009

Thai Word Segmentation with Hidden Markov Model and Decision Tree.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

XML Schema Element Similarity Measures: A Schema Matching Context.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2009, 2009

Overview of the INEX 2009 XML Mining Track: Clustering and Classification of XML Documents.
Proceedings of the Focused Retrieval and Evaluation, 2009

Utilising Semantic Tags in XML Clustering.
Proceedings of the Focused Retrieval and Evaluation, 2009

HCX: an efficient hybrid clustering approach for XML documents.
Proceedings of the 2009 ACM Symposium on Document Engineering, 2009

Knowledge Discovery over the Deep Web, Semantic Web and XML.
Proceedings of the Database Systems for Advanced Applications, 2009

XCFS: an XML documents clustering approach using both the structure and the content.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Towards Information Enrichment through Recommendation Sharing.
Proceedings of the Data Mining and Multi-agent Integration, 2009

2008
Fast and effective clustering of XML data using structural information.
Knowl. Inf. Syst., 2008

Data Mining in Web Services Discovery and Monitoring.
Int. J. Web Serv. Res., 2008

A knowledge retrieval model using ontology mining and user profiling.
Integr. Comput. Aided Eng., 2008

Improving Web Service Discovery by Using Semantic Models.
Proceedings of the Web Information Systems Engineering, 2008

An Ontology-Based Framework for Knowledge Retrieval.
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008

Expertise Analysis in a Question Answer Portal for Author Ranking.
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008

Utilizing the Structure and Content Information for XML Document Clustering.
Proceedings of the Advances in Focused Retrieval, 2008

Clustering XML Documents Using Frequent Subtrees.
Proceedings of the Advances in Focused Retrieval, 2008

Link-the-Wiki: Performance Evaluation Based on Frequent Phrases.
Proceedings of the Advances in Focused Retrieval, 2008

Exploiting Item Taxonomy for Solving Cold-Start Problem in Recommendation Making.
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

Improve Recommendation Quality with Item Taxonomic Information.
Proceedings of the Enterprise Information Systems, 10th International Conference, 2008

An Efficient Neighbourhood Estimation Technique for Making Recommendations.
Proceedings of the Enterprise Information Systems, 10th International Conference, 2008

Efficient Neighbourhood Estimation for Recommendation Making.
Proceedings of the ICEIS 2008, 2008

Web Information Recommendation Making Based on Item Taxonomy.
Proceedings of the ICEIS 2008, 2008

Collaborative Filtering Recommender Systems Using Tag Information.
Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008

A User Driven Data Mining Process Model and Learning System.
Proceedings of the Database Systems for Advanced Applications, 2008

An Interactive Predictive Data Mining System for Informed Decision.
Proceedings of the Database Systems for Advanced Applications, 2008

Combining Structure and Content Similarities for XML Document Clustering.
Proceedings of the Data Mining and Analytics 2008, 2008

Clustering and Classification of Maintenance Logs using Text Data Mining.
Proceedings of the Data Mining and Analytics 2008, 2008

2007
Mining world knowledge for analysis of search engine content.
Web Intell. Agent Syst., 2007

XML schema clustering with semantic and hierarchical similarity measures.
Knowl. Based Syst., 2007

A Progressive Clustering Algorithm to Group the XML Data by Structural and Semantic Similarity.
Int. J. Pattern Recognit. Artif. Intell., 2007

Ontology Mining for PersonalizedWeb Information Gathering.
Proceedings of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence, 2007

Web Service Discovery with additional Semantics and Clustering.
Proceedings of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence, 2007

Ontology Mining for Semantic Interpretation of Information Needs.
Proceedings of the Knowledge Science, 2007

Document Clustering Using Incremental and Pairwise Approaches.
Proceedings of the Focused Access to XML Documents, 2007

Clustering XML Documents Using Closed Frequent Subtrees: A Structural Similarity Approach.
Proceedings of the Focused Access to XML Documents, 2007

Improving Recommendation Novelty Based on Topic Taxonomy.
Proceedings of the 2007 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2007

A Novel Cluster Center Estimation Algorithm with Hybrid Partitional Clustering.
Proceedings of the 2007 International Conference on Data Mining, 2007

The Use of Various Data Mining and Feature Selection Methods in the Analysis of a Population Survey Dataset.
Proceedings of the Integrating Artificial Intelligence and Data Mining, 2007

Temporal Pattern Matching for the Prediction of Stock Prices.
Proceedings of the Integrating Artificial Intelligence and Data Mining, 2007

PCITMiner- Prefix-based Closed Induced Tree Miner for finding closed induced frequent subtrees.
Proceedings of the Data Mining and Analytics 2007, 2007

A Case Study of Failure Mode Analysis with Text Mining Methods.
Proceedings of the Integrating Artificial Intelligence and Data Mining, 2007

2006
Distributed Recommender Profiling and Selection with Gittins Indices.
Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 2006

Automatically Acquiring Training Sets for Web Information Gathering.
Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 2006

Investigating Semantic Measures in XML Clustering.
Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 2006

XCLS: A Fast and Effective Clustering Algorithm for Heterogenous XML Documents.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Evaluating the Performance of XML Document Clustering by Structure Only.
Proceedings of the Comparative Evaluation of XML Information Retrieval Systems, 2006

Influencing Factors in Achieving Active Ageing.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Use of Data Mining in System Development Life Cycle.
Proceedings of the Data Mining - Theory, Methodology, Techniques, and Applications, 2006

Data Mining in Conceptualising Active Ageing.
Proceedings of the Data Mining and Analytics 2006, 2006

Data Mining For Lifetime Prediction of Metallic Components.
Proceedings of the Data Mining and Analytics 2006, 2006

XMine: A Methodology for Mining XML Structure.
Proceedings of the Frontiers of WWW Research and Development, 2006

A Fair Peer Selection Algorithm for an Ecommerce-Oriented Distributed Recommender System.
Proceedings of the Advances in Intelligent IT, 2006

A Web data extraction approach to harvesting data from online sources.
Proceedings of the Advances in Intelligent IT, 2006

Process of applying data mining techniques to XML data.
Proceedings of the Advances in Intelligent IT, 2006

2005
A Data Mining Application Analysis of Problems Occurring during a Software Project Development Process.
Int. J. Softw. Eng. Knowl. Eng., 2005

XML Documents Clustering by Structures.
Proceedings of the Advances in XML Information Retrieval and Evaluation, 2005

Generating Predicate Rules from Neural Networks.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2005

An Improvement to Collaborative Filtering for Recommender Systems.
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

Wireless Technologies to Enable Electronic Business.
Proceedings of the Encyclopedia of Information Science and Technology (5 Volumes), 2005

Data Mining and Mobile Business Data.
Proceedings of the Encyclopedia of Information Science and Technology (5 Volumes), 2005

2004
Applications of Data Mining in Web Services.
Proceedings of the Web Information Systems, 2004

Automatic integration of Heterogenous XML-schemas.
Proceedings of the iiWAS'2004, 2004

2002
Data Mining and XML Documents.
Proceedings of the International Conference on Internet Computing, 2002


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