Yuefeng Li

Orcid: 0000-0002-3594-8980

Affiliations:
  • Queensland University of Technology - QUT, Brisbane, Australia


According to our database1, Yuefeng Li authored at least 244 papers between 2002 and 2026.

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

Timeline

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Book  In proceedings  Article  PhD thesis  Dataset  Other 

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Bibliography

2026
Nonnegative Matrix Factorization in Dimensionality Reduction: A Survey.
ACM Comput. Surv., April, 2026

Improving robustness in X-ray image classification through attention mechanisms in convolutional neural networks.
PeerJ Comput. Sci., 2026

Access Point Energy Minimization via MAC-Layer Optimization in IEEE 802.11ah Networks.
IEEE Open J. Commun. Soc., 2026

Overcoming BERT's limitations in uncertainty: A novel two-stage solution for multi-class medical text classification.
Knowl. Based Syst., 2026

Random forest of thoughts: Reasoning path fusion for LLM inference in computational social science.
Inf. Fusion, 2026

Discover Class-Based Feature Distribution by Encoding Discrete Data for Classification.
Expert Syst. J. Knowl. Eng., 2026

Balancing privacy and performance: An empirical study of machine unlearning in deep learning models.
Eng. Appl. Artif. Intell., 2026

Leveraging Transformers to Discover Software Vulnerabilities based on Source Code Slices.
Proceedings of the 2026 Australasian Information Security Conference, 2026

Exploring Selective Avoidance for Online User Behavior Analysis: A Forest of Thought Explanation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Random Forest-of-Thoughts: Uncertainty-aware Reasoning for Computational Social Science.
CoRR, February, 2025

A Comprehensive Survey on Spectral Clustering with Graph Structure Learning.
CoRR, January, 2025

Energy Consumption Modeling for Wi-Fi HaLow Networks.
IEEE Open J. Commun. Soc., 2025

Context-Aware Emotion Gating and Modulation for Fine-Grained Sentiment Classification.
Mach. Learn. Knowl. Extr., 2025

NEDL-GCP: A nested ensemble deep learning model for Gynecological cancer risk prediction.
Array, 2025

Fine-Grained Feature Extraction in Key Sentence Selection for Explainable Sentiment Classification Using BERT and CNN.
IEEE Access, 2025

BERT-TCPE: A Term-Class Probability-Enhanced BERT Framework for Uncertainty-Aware Medical Text Classification.
Proceedings of the PRICAI 2025: Trends in Artificial Intelligence, 2025

Fusing Deep Object Detectors via Spatial Heatmap-Based Relevance Modelling.
Proceedings of the Data Science and Machine Learning, 2025

Dynamic Source Code Vulnerability Characteristics Selection for Enhanced Vulnerability Discovery.
Proceedings of the Data Science and Machine Learning, 2025

2024
SDAC-DA: Semi-Supervised Deep Attributed Clustering Using Dual Autoencoder.
IEEE Trans. Knowl. Data Eng., November, 2024

Graph-Enabled Reinforcement Learning for Time Series Forecasting With Adaptive Intelligence.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2024

A Deep Semi-Supervised Community Detection Based on Point-Wise Mutual Information.
IEEE Trans. Comput. Soc. Syst., June, 2024

A Semantics-enhanced Topic Modelling Technique: Semantic-LDA.
ACM Trans. Knowl. Discov. Data, May, 2024

Business chatbots with deep learning technologies: state-of-the-art, taxonomies, and future research directions.
Artif. Intell. Rev., May, 2024

k-outlier removal based on contextual label information and cluster purity for continuous data classification.
Expert Syst. Appl., March, 2024

Granule-specific feature selection for continuous data classification using neighborhood rough sets.
Expert Syst. Appl., March, 2024

A phrase-based questionnaire-answering approach for automatic initial frailty assessment based on clinical notes.
Comput. Biol. Medicine, March, 2024

Autoencoders and their applications in machine learning: a survey.
Artif. Intell. Rev., February, 2024

WSNMF: Weighted Symmetric Nonnegative Matrix Factorization for attributed graph clustering.
Neurocomputing, January, 2024

Supervised fusion content-based framework for breakdown detection in task-oriented conversational systems.
Web Intell., 2024

Generalisable deep Learning framework to overcome catastrophic forgetting.
Intell. Syst. Appl., 2024

Nonnegative Matrix Factorization in Dimensionality Reduction: A Survey.
CoRR, 2024

DE-CGAN: Boosting rTMS Treatment Prediction with Diversity Enhancing Conditional Generative Adversarial Networks.
CoRR, 2024

Refined Sentiment Analysis Using POS Features and LDA: Mitigating Polysemy and Sparsity with BERT Contextual Embedding.
Proceedings of the Neural Information Processing - 31st International Conference, 2024

Aligning Bytes with Bliss: Integrating Happiness Computing with Sociological Insight.
Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 2024

2023
Topic Integrated Opinion-Based Drug Recommendation With Transformers.
IEEE Trans. Emerg. Top. Comput. Intell., December, 2023

DAC-HPP: deep attributed clustering with high-order proximity preserve.
Neural Comput. Appl., December, 2023

Identifying predictive biomarkers for repetitive transcranial magnetic stimulation response in depression patients with explainability.
Comput. Methods Programs Biomed., December, 2023

Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment.
Brain Informatics, December, 2023

A new method for recommendation based on embedding spectral clustering in heterogeneous networks (RESCHet).
Expert Syst. Appl., November, 2023

Gynecological cancer prognosis using machine learning techniques: A systematic review of the last three decades (1990-2022).
Artif. Intell. Medicine, May, 2023

Graph Regularized Nonnegative Matrix Factorization for Community Detection in Attributed Networks.
IEEE Trans. Netw. Sci. Eng., 2023

Multi-aspect attentive text representations for simple question answering over knowledge base.
Nat. Lang. Process. J., 2023

Robust graph regularization nonnegative matrix factorization for link prediction in attributed networks.
Multim. Tools Appl., 2023

2022
Application of CycleGAN and transfer learning techniques for automated detection of COVID-19 using X-ray images.
Pattern Recognit. Lett., 2022

FedStack: Personalized activity monitoring using stacked federated learning.
Knowl. Based Syst., 2022

Graph-based multi-label disease prediction model learning from medical data and domain knowledge.
Knowl. Based Syst., 2022

A preference random walk algorithm for link prediction through mutual influence nodes in complex networks.
J. King Saud Univ. Comput. Inf. Sci., 2022

A new attributed graph clustering by using label propagation in complex networks.
J. King Saud Univ. Comput. Inf. Sci., 2022

Integration of fuzzy logic and a convolutional neural network in three-way decision-making.
Expert Syst. Appl., 2022

Impact of Centrality Measures on the Common Neighbors in Link Prediction for Multiplex Networks.
Big Data, 2022

Enhanced Topic Representation by Ambiguity Handling.
Proceedings of the Web Information Systems Engineering - WISE 2022, 2022

UMLS-Based Question-Answering Approach for Automatic Initial Frailty Assessment.
Proceedings of the Data Mining - 20th Australasian Conference, AusDM 2022, Western Sydney, 2022

Probabilistic Term Weighting Based on Three-Way Decisions for Class Based Feature Selection.
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

2021
Semantic-based topic representation using frequent semantic patterns.
Knowl. Based Syst., 2021

Predicting Alzheimer's Disease from Spoken and Written Language Using Fusion-Based Stacked Generalization.
J. Biomed. Informatics, 2021

Using back-and-forth translation to create artificial augmented textual data for sentiment analysis models.
Expert Syst. Appl., 2021

Spectral clustering on protein-protein interaction networks via constructing affinity matrix using attributed graph embedding.
Comput. Biol. Medicine, 2021

Mining and classifying customer reviews: a survey.
Artif. Intell. Rev., 2021

Emerging Applications in Healthcare and Their Implications to Academia and Practice.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

2020
Query-based unsupervised learning for improving social media search.
World Wide Web, 2020

A survey on text classification and its applications.
Web Intell., 2020

Profile-Guided Three-Phase Virtual Resource Management for Energy Efficiency of Data Centers.
IEEE Trans. Ind. Electron., 2020

Review selection based on content quality.
Knowl. Inf. Syst., 2020

A Semantic Based Approach for Topic Evaluation in Information Filtering.
IEEE Access, 2020

Predicting Prodromal Dementia Using Linguistic Patterns and Deficits.
IEEE Access, 2020

Pattern-based Fall Prediction using Hospital Clinical Notes.
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020

A Multiple SVMs Classifier in Three-Way Decisions Framework for Text Classification.
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020

A New Deep Convolutional Neural Network Model for Automated Breast Cancer Detection.
Proceedings of the 7th International Conference on Behavioural and Social Computing, 2020

Three-Way Framework Using Fuzzy Concepts and Semantic Rules in Opinion Classification.
Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020

2019
Dual pattern-enhanced representations model for query-focused multi-document summarisation.
Knowl. Based Syst., 2019

Semi-supervised text classification with deep convolutional neural network using feature fusion approach.
Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence, 2019

Topic Representation using Semantic-Based Patterns.
Proceedings of the Data Mining - 17th Australasian Conference, AusDM 2019, Adelaide, SA, 2019

Frequent Semantic Patterns for Document Relevance Ranking.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

2018
Extending Embedding Representation by Incorporating Latent Relations.
IEEE Access, 2018

Investigation of the Quality of Topic Models for Noisy Data Sources.
Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

A Semantic Similarity Based Topic Evaluation for Enhancing Information Filtering.
Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

An Extended Random-Sets Model for Fusion-Based Text Feature Selection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Query-Based Automatic Training Set Selection for Microblog Retrieval.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Enhancing Binary Classification by Modeling Uncertain Boundary in Three-Way Decisions (Extended Abstract).
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

User Profile Ontology to Support Personalisation for E-Coaching Systems.
Proceedings of the CIKM 2018 Workshops co-located with 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), 2018

Multiple Support Vector Machines for Binary Text Classification Based on Sliding Window Technique.
Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018

Random-Sets for Dealing with Uncertainties in Relevance Feature.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Enhancing Decision Boundary Setting for Binary Text Classification.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

2017
Enhancing Binary Classification by Modeling Uncertain Boundary in Three-Way Decisions.
IEEE Trans. Knowl. Data Eng., 2017

Finding Semantically Valid and Relevant Topics by Association-Based Topic Selection Model.
ACM Trans. Intell. Syst. Technol., 2017

Conceptual annotation of text patterns.
Comput. Intell., 2017

Topical term weighting based on extended random sets for relevance feature selection.
Proceedings of the International Conference on Web Intelligence, 2017

Enhancing Topical Word Semantic for Relevance Feature Selection.
Proceedings of the IJCAI Workshop on Semantic Machine Learning (SML 2017) co-located with 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), 2017

Integrating LDA with Clustering Technique for Relevance Feature Selection.
Proceedings of the AI 2017: Advances in Artificial Intelligence, 2017

Effective pseudo-relevance for Microblog retrieval.
Proceedings of the Australasian Computer Science Week Multiconference, 2017

2016
Mining Topically Coherent Patterns for Unsupervised Extractive Multi-document Summarization.
Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

A Framework for Automatic Personalised Ontology Learning.
Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

Specialized Review Selection Using Topic Models.
Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2016

Hot Topic Detection in News Blog Based on W2T Methodology.
Proceedings of the Wisdom Web of Things, 2016

2015
Relevance Feature Discovery for Text Mining.
IEEE Trans. Knowl. Data Eng., 2015

Pattern-based Topics for Document Modelling in Information Filtering.
IEEE Trans. Knowl. Data Eng., 2015

Mining Topical Relevant Patterns for Multi-document Summarization.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Quality-Aware Review Selection Based on Product Feature Taxonomy.
Proceedings of the Information Retrieval Technology, 2015

2014
Extracting news blog hot topics based on the W2T Methodology.
World Wide Web, 2014

A topic based document relevance ranking model.
Proceedings of the 23rd International World Wide Web Conference, 2014

A Review Selection Method Using Product Feature Taxonomy.
Proceedings of the Web Information Systems Engineering - WISE 2014, 2014

Topical Pattern Based Document Modelling and Relevance Ranking.
Proceedings of the Web Information Systems Engineering - WISE 2014, 2014

Generating Product Feature Hierarchy from Product Reviews.
Proceedings of the Web Information Systems and Technologies, 2014

Product Feature Taxonomy Learning based on User Reviews.
Proceedings of the WEBIST 2014, 2014

Using Extended Random Set to Find Specific Patterns.
Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

A Combined Method for Mitigating Sparsity Problem in Tag Recommendation.
Proceedings of the 47th Hawaii International Conference on System Sciences, 2014

Centroid Training to achieve effective text classification.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

Pattern-based Topic Modelling for Query Expansion.
Proceedings of the Twelfth Australasian Data Mining Conference, AusDM 2014, Brisbane, 2014

2013
Personalised Information Gathering and Recommender Systems: Techniques and Trends.
EAI Endorsed Trans. Scalable Inf. Syst., 2013

Structured Feature Extraction Using Association Rules.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2013

A Two-Stage Approach for Generating Topic Models.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Mining Specific Features for Acquiring User Information Needs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

A Pattern Based Two-Stage Text Classifier.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2013

An Ontology-based Method for Sparsity Problem in Tag Recommendation.
Proceedings of the ICEIS 2013, 2013

Pattern-Based Topic Models for Information Filtering.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Acquiring User Information Needs for Recommender Systems.
Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2013

Enhanced N-Gram Extraction Using Relevance Feature Discovery.
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013

Mapping Semantic Knowledge for Unsupervised Text Categorisation.
Proceedings of the Twenty-Fourth Australasian Database Conference, 2013

Scoring-Thresholding Pattern Based Text Classifier.
Proceedings of the Intelligent Information and Database Systems - 5th Asian Conference, 2013

2012
Personalized recommender systems integrating tags and item taxonomy.
Web Intell. Agent Syst., 2012

Text mining in negative relevance feedback.
Web Intell. Agent Syst., 2012

Effective Pattern Discovery for Text Mining.
IEEE Trans. Knowl. Data Eng., 2012

A two-stage decision model for information filtering.
Decis. Support Syst., 2012

The state-of-the-art in personalized recommender systems for social networking.
Artif. Intell. Rev., 2012

Semantic Labelling for Document Feature Patterns Using Ontological Subjects.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence, 2012

Using Patterns Co-occurrence Matrix for Cleaning Closed Sequential Patterns for Text Mining.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence, 2012

Discovering Novel Knowledge Using Granule Mining.
Proceedings of the Rough Sets and Current Trends in Computing, 2012

Unsupervised Multi-label Text Classification Using a World Knowledge Ontology.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Personalization in tag ontology learning for recommendation making.
Proceedings of the 14th International Conference on Information Integration and Web-based Applications & Services, IIWAS '12, Bali, Indonesia, 2012

Retrieving Information from Microblog Using Pattern Mining and Relevance Feedback.
Proceedings of the Data and Knowledge Engineering - Third International Conference, 2012

Integration of Opinion into Customer Analysis Model.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2012

Matching Relevance Features with Ontological Concepts.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2012

Learning Personalized Tag Ontology from User Tagging Information.
Proceedings of the Tenth Australasian Data Mining Conference, AusDM 2012, Sydney, 2012

Adopting Relevance Feature to Learn Personalized Ontologies.
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

Hot Topic Detection in News Blogs from the Perspective of W2T.
Proceedings of the Active Media Technology - 8th International Conference, 2012

2011
Text mining and probabilistic language modeling for online review spam detection.
ACM Trans. Manag. Inf. Syst., 2011

A Personalized Ontology Model for Web Information Gathering.
IEEE Trans. Knowl. Data Eng., 2011

A pattern mining approach for information filtering systems.
Inf. Retr., 2011

Fuzzy Ontology Mining and Semantic Information Granulation for Effective Information Retrieval Decision Making.
Int. J. Comput. Intell. Syst., 2011

Reliable representations for association rules.
Data Knowl. Eng., 2011

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

Microblog Retrieval Using Topical Features and Query Expansion.
Proceedings of The Twentieth Text REtrieval Conference, 2011

Pattern Mining for a Two-Stage Information Filtering 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

Integration of Opinion into Customer Analysis Model.
Proceedings of the IEEE 8th International Conference on e-Business Engineering, 2011

Ontology Learning from User Tagging for Tag Recommendation Making.
Proceedings of the 2011 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 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

Hot Topic Detection in Professional Blogs.
Proceedings of the Active Media Technology - 7th International Conference, 2011

2010
A knowledge-based model using ontologies for personalized web information gathering.
Web Intell. Agent Syst., 2010

Ontology-Based Specific and Exhaustive User Profiles for Constraint Information Fusion for Multi-agents.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010

Mining Specific and General Features in Both Positive and Negative Relevance Feedback: QUT E-Discovery Lab at the TREC 2010 Relevance Feedback Track.
Proceedings of The Nineteenth Text REtrieval Conference, 2010

Mining positive and negative patterns for relevance feature discovery.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Toward a Language Modeling Approach for Consumer Review Spam Detection.
Proceedings of the IEEE 7th International Conference on e-Business Engineering, 2010

Mining Users' Opinions Based on Item Folksonomy and Taxonomy for Personalized Recommender Systems.
Proceedings of the ICDMW 2010, 2010

High-Order Concept Associations Mining and Inferential Language Modeling for Online Review Spam Detection.
Proceedings of the ICDMW 2010, 2010

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

Non-Redundant Sequential Association Rule Mining and Application in Recommender Systems.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology - Workshops, Toronto, Canada, August 31, 2010

Deploying Top-k Specific Patterns for Relevance Feature Discovery.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology - Workshops, Toronto, Canada, August 31, 2010

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

Rough sets based reasoning and pattern mining for a two-stage information filtering system.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

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

Selected new training documents to update user profile.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
Toward a Fuzzy Domain Ontology Extraction Method for Adaptive e-Learning.
IEEE Trans. Knowl. Data Eng., 2009

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

Mining Negative Relevance Feedback for Information Filtering.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 2009

Mining Specific and General Features in Both Positive and Negative Relevance Feedback.
Proceedings of The Eighteenth Text REtrieval Conference, 2009

A User Profiles Acquiring Approach Using Pseudo-Relevance Feedback.
Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009

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

Mining Fuzzy Ontology for a Web-Based Granular Information Retrieval System.
Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009

Concept-Based, Personalized Web Information Gathering: A Survey.
Proceedings of the Knowledge Science, 2009

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

Automatic Domain Ontology Extraction for Context-Sensitive Opinion Mining.
Proceedings of the International Conference on Information Systems, 2009

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

An effective model of using negative relevance feedback for information filtering.
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
Mining Trading Partners' Preferences for Efficient Multi-Issue Bargaining in E-Business.
J. Manag. Inf. Syst., 2008

Granule mining oriented data warehousing model for representations of multidimensional association rules.
Int. J. Intell. Inf. Database Syst., 2008

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

Knowledge discovery for adaptive negotiation agents in e-marketplaces.
Decis. Support Syst., 2008

A Reliable Basis for Approximate Association Rules.
IEEE Intell. Informatics Bull., 2008

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

Concise representations for approximate association rules.
Proceedings of the IEEE International Conference on Systems, 2008

Clustering XML Documents Using Frequent Subtrees.
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

Two-Stage Model for Information Filtering.
Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 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

Adaptive Information Filtering Based on PTM Model (APTM).
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

A two-stage text mining model for information filtering.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Effective pattern taxonomy mining in text documents.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Pattern Taxonomy Mining for Information Filtering.
Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

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

Mining Rough Association from Text Documents for Web Information Gathering.
Trans. Rough Sets, 2007

Mining Non-Redundant Association Rules Based on Concise Bases.
Int. J. Pattern Recognit. Artif. Intell., 2007

Editorial.
Int. J. Pattern Recognit. Artif. Intell., 2007

Sequential Pattern Mining and Nonmonotonic Reasoning for Intelligent Information Agents.
Int. J. Pattern Recognit. Artif. Intell., 2007

Using Information Filtering in Web Data Mining Process.
Proceedings of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence, 2007

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

Mining Fuzzy Domain Ontology from Textual Databases.
Proceedings of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence, 2007

Filtering and Sophisticated Data Processing for Web Information Gathering.
Proceedings of the Rough Sets and Intelligent Systems Paradigms, International Conference, 2007

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

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

Granule Based Intertransaction Association Rule Mining.
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 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

Generating concise association rules.
Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, 2007

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

2006
Mining Ontology for Automatically Acquiring Web User Information Needs.
IEEE Trans. Knowl. Data Eng., 2006

Ontology Based Web Mining for Information Gathering.
Proceedings of the Web Intelligence Meets Brain Informatics, 2006

Utilizing Search Intent in Topic Ontology-Based User Profile for Web Mining.
Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 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

Rough Association Rule Mining in Text Documents for Acquiring Web User Information Needs.
Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 2006

Mining Rough Association from Text Documents.
Proceedings of the Rough Sets and Current Trends in Computing, 2006

Deploying Approaches for Pattern Refinement in Text Mining.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Multi-Tier Granule Mining for Representations of Multidimensional Association Rules.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

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

Relevence Assessment of Topic Ontology.
Proceedings of the Advances in Intelligent IT, 2006

Rough Set Model for Constraint-based Multi-dimensional Association Rule Mining.
Proceedings of the Advances in Intelligent IT, 2006

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

2005
Mining Interesting Topics for Web Information Gathering and Web Personalization.
Proceedings of the 2005 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2005), 2005

NTCIR-5 CLIR Experiments at QUT.
Proceedings of the Fifth NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, 2005

Information Fusion With Subject-Based Information Gathering Method for Intelligent Multi-Agent Models.
Proceedings of the iiWAS'2005, 2005

An Effective Deploying Algorithm for Using Pattern-Taxonomy.
Proceedings of the iiWAS'2005, 2005

Mining for Useful Association Rules Using the ATMS.
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 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

Rough Association Mining and Its Application in Web Information Gathering.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

A framework for e-commerce oriented recommendation systems.
Proceedings of the 2005 International Conference on Active Media Technology, 2005

Topic-oriented mining and reasoning.
Proceedings of the 2005 International Conference on Active Media Technology, 2005

Sequential pattern mining and belief revision for adaptive information retrieval.
Proceedings of the 2005 International Conference on Active Media Technology, 2005

2004
Web mining model and its applications for information gathering.
Knowl. Based Syst., 2004

Automatic Pattern-Taxonomy Extraction for Web Mining.
Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 2004

Capturing Evolving Patterns for Ontology-based Web Mining.
Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 2004

Modelling Traditional Chinese Paintings for Content-Based Image Classification and Retrieval.
Proceedings of the 10th International Multimedia Modeling Conference (MMM 2004), 2004

Web Data Mining and Reasoning Model.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

2003
Ontology-Based Web Mining Model: Representations of User Profiles.
Proceedings of the 2003 IEEE / WIC International Conference on Web Intelligence, 2003

Interpretations of Association Rules by Granular Computing.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2002
User Profile Model: A View from Artificial Intelligence.
Proceedings of the Rough Sets and Current Trends in Computing, 2002


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