Chengqi Zhang

According to our database1, Chengqi Zhang authored at least 330 papers between 1990 and 2019.

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Bibliography

2019
CFOND: Consensus Factorization for Co-Clustering Networked Data.
IEEE Trans. Knowl. Data Eng., 2019

Deep Learning From Noisy Image Labels With Quality Embedding.
IEEE Trans. Image Processing, 2019

Cost-Sensitive Parallel Learning Framework for Insurance Intelligence Operation.
IEEE Trans. Industrial Electronics, 2019

Salient Subsequence Learning for Time Series Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Tensorized Self-Attention: Efficiently Modeling Pairwise and Global Dependencies Together.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Graph WaveNet for Deep Spatial-Temporal Graph Modeling.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Attributed Graph Clustering: A Deep Attentional Embedding Approach.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Dual influence embedded social recommendation.
World Wide Web, 2018

Multiple Structure-View Learning for Graph Classification.
IEEE Trans. Neural Netw. Learning Syst., 2018

Dynamic Affinity Graph Construction for Spectral Clustering Using Multiple Features.
IEEE Trans. Neural Netw. Learning Syst., 2018

Multi-Instance Learning with Discriminative Bag Mapping.
IEEE Trans. Knowl. Data Eng., 2018

K-Ary Tree Hashing for Fast Graph Classification.
IEEE Trans. Knowl. Data Eng., 2018

Advances in Processing, Mining, and Learning Complex Data: From Foundations to Real-World Applications.
Complexity, 2018

MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Cost-sensitive Hybrid Neural Networks for Heterogeneous and Imbalanced Data.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Efficient Attributed Network Embedding via Recursive Randomized Hashing.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Adversarially Regularized Graph Autoencoder for Graph Embedding.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling.
Proceedings of the 6th International Conference on Learning Representations, 2018

SINE: Scalable Incomplete Network Embedding.
Proceedings of the IEEE International Conference on Data Mining, 2018

Binarized attributed network embedding.
Proceedings of the IEEE International Conference on Data Mining, 2018

DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Incremental Subgraph Feature Selection for Graph Classification.
IEEE Trans. Knowl. Data Eng., 2017

Combining Structured Node Content and Topology Information for Networked Graph Clustering.
TKDD, 2017

Positive and Unlabeled Multi-Graph Learning.
IEEE Trans. Cybernetics, 2017

Task Sensitive Feature Exploration and Learning for Multitask Graph Classification.
IEEE Trans. Cybernetics, 2017

Exploring Consensus RNA Substructural Patterns Using Subgraph Mining.
IEEE/ACM Trans. Comput. Biology Bioinform., 2017

Using propensity scores to predict the kinases of unannotated phosphopeptides.
Knowl.-Based Syst., 2017

Boosting for graph classification with universum.
Knowl. Inf. Syst., 2017

Collective Hyping Detection System for Identifying Online Spam Activities.
IEEE Intelligent Systems, 2017

Consistent Weighted Sampling Made More Practical.
Proceedings of the 26th International Conference on World Wide Web, 2017

User Profile Preserving Social Network Embedding.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Recommendation vs Sentiment Analysis: A Text-Driven Latent Factor Model for Rating Prediction with Cold-Start Awareness.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Protecting Location Privacy in Spatial Crowdsourcing using Encrypted Data.
Proceedings of the 20th International Conference on Extending Database Technology, 2017

2016
Towards Anomalous Diffusion Sources Detection in a Large Network.
ACM Trans. Internet Techn., 2016

Compound Rank-k Projections for Bilinear Analysis.
IEEE Trans. Neural Netw. Learning Syst., 2016

Online Learning from Trapezoidal Data Streams.
IEEE Trans. Knowl. Data Eng., 2016

Convex Sparse PCA for Unsupervised Feature Learning.
TKDD, 2016

SODE: Self-Adaptive One-Dependence Estimators for classification.
Pattern Recognition, 2016

Multi-graph-view subgraph mining for graph classification.
Knowl. Inf. Syst., 2016

Interval-Based Similarity for Classifying Conserved RNA Secondary Structures.
IEEE Intelligent Systems, 2016

PerSentiment: A Personalized Sentiment Classification System for Microblog Users.
Proceedings of the 25th International Conference on World Wide Web, 2016

Build Emotion Lexicon from the Mood of Crowd via Topic-Assisted Joint Non-negative Matrix Factorization.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Exploring Heterogeneous Product Networks for Discovering Collective Marketing Hyping Behavior.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Cross-View Feature Hashing for Image Retrieval.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Co-clustering enterprise social networks.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Unsupervised Feature Learning from Time Series.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Tri-Party Deep Network Representation.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Depth-First Search Encoding of RNA Substructures.
Proceedings of the Intelligent Computing Theories and Application, 2016

Homophily, Structure, and Content Augmented Network Representation Learning.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Inferring Latent Network from Cascade Data for Dynamic Social Recommendation.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Canonical Consistent Weighted Sampling for Real-Value Weighted Min-Hash.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Joint structure feature exploration and regularization for multi-task graph classification.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

TrGraph: Cross-network transfer learning via common signature subgraphs.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Collective Classification via Discriminative Matrix Factorization on Sparsely Labeled Networks.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Global and Local Influence-based Social Recommendation.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Mining Co-locations from Continuously Distributed Uncertain Spatial Data.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

Dynamic Concept Composition for Zero-Example Event Detection.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Modeling Location-Based User Rating Profiles for Personalized Recommendation.
TKDD, 2015

Graph Ensemble Boosting for Imbalanced Noisy Graph Stream Classification.
IEEE Trans. Cybernetics, 2015

Rating Knowledge Sharing in Cross-Domain Collaborative Filtering.
IEEE Trans. Cybernetics, 2015

Finding the best not the most: regularized loss minimization subgraph selection for graph classification.
Pattern Recognition, 2015

Self-adaptive attribute weighting for Naive Bayes classification.
Expert Syst. Appl., 2015

RCP Mining: Towards the Summarization of Spatial Co-location Patterns.
Proceedings of the Advances in Spatial and Temporal Databases, 2015

Locally Densest Subgraph Discovery.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Online diffusion source detection in social networks.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Scalable Maximum Margin Matrix Factorization by Active Riemannian Subspace Search.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Multi-Graph-View Learning for Complicated Object Classification.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Towards Mining Trapezoidal Data Streams.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Build Emotion Lexicon from Microblogs by Combining Effects of Seed Words and Emoticons in a Heterogeneous Graph.
Proceedings of the 26th ACM Conference on Hypertext & Social Media, 2015

Defragging Subgraph Features for Graph Classification.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

SocialAnalysis: A Real-Time Query and Mining System from Social Media Data Streams.
Proceedings of the Databases Theory and Applications, 2015

2014
Bag Constrained Structure Pattern Mining for Multi-Graph Classification.
IEEE Trans. Knowl. Data Eng., 2014

Active Learning without Knowing Individual Instance Labels: A Pairwise Label Homogeneity Query Approach.
IEEE Trans. Knowl. Data Eng., 2014

The effect of varying levels of class distribution on bagging for different algorithms: An empirical study.
Int. J. Machine Learning & Cybernetics, 2014

Matching dominance: capture the semantics of dominance for multi-dimensional uncertain objects.
Proceedings of the Conference on Scientific and Statistical Database Management, 2014

Scalable big graph processing in MapReduce.
Proceedings of the International Conference on Management of Data, 2014

Multi-Graph Learning with Positive and Unlabeled Bags.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Multi-Instance Learning from Positive and Unlabeled Bags.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Dual instance and attribute weighting for Naive Bayes classification.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Attribute weighting: How and when does it work for Bayesian Network Classification.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Multi-graph-view Learning for Graph Classification.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

SNOC: Streaming Network Node Classification.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Exploring Features for Complicated Objects: Cross-View Feature Selection for Multi-Instance Learning.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Noisy but non-malicious user detection in social recommender systems.
World Wide Web, 2013

Active Class Discovery and Learning for Networked Data.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Mining Probabilistic Representative Frequent Patterns From Uncertain Data.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Cost-Sensitive Classification with k-Nearest Neighbors.
Proceedings of the Knowledge Science, Engineering and Management, 2013

Summarizing probabilistic frequent patterns: a fast approach.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Multi-instance Multi-graph Dual Embedding Learning.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Mining Dependent Frequent Serial Episodes from Uncertain Sequence Data.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Graph stream classification using labeled and unlabeled graphs.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

Mining frequent serial episodes over uncertain sequence data.
Proceedings of the Joint 2013 EDBT/ICDT Conferences, 2013

2012
Probabilistic Exposure Fusion.
IEEE Trans. Image Processing, 2012

Cost-sensitive classification with inadequate labeled data.
Inf. Syst., 2012

Mining bridging rules between conceptual clusters.
Appl. Intell., 2012

Semantic Analysis of Component-aspect Dynamism for Connector-based Architecture Styles.
Proceedings of the 2012 Joint Working IEEE/IFIP Conference on Software Architecture and European Conference on Software Architecture, 2012

Nested Subtree Hash Kernels for Large-Scale Graph Classification over Streams.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

TCSST: transfer classification of short & sparse text using external data.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

An efficient and simple under-sampling technique for imbalanced time series classification.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

A Comparative Study of Sampling Methods and Algorithms for Imbalanced Time Series Classification.
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

System Modeling of a Smart-Home Healthy Lifestyle Assistant.
Proceedings of the Agents and Data Mining Interaction - 8th International Workshop, 2012

Active Learning from Oracle with Knowledge Blind Spot.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Combined Mining: Discovering Informative Knowledge in Complex Data.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2011

One-class learning and concept summarization for data streams.
Knowl. Inf. Syst., 2011

Enhancing grid-density based clustering for high dimensional data.
Journal of Systems and Software, 2011

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

CLAP: Collaborative pattern mining for distributed information systems.
Decision Support Systems, 2011

Semi-supervised Variable Weighting for Clustering.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Agent-Based Subspace Clustering.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

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

Cross-Domain Collaborative Filtering over Time.
Proceedings of the IJCAI 2011, 2011

Do they belong to the same class: active learning by querying pairwise label homogeneity.
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

Empirical Study of Bagging Predictors on Medical Data.
Proceedings of the Ninth Australasian Data Mining Conference, AusDM 2011, Ballarat, 2011

An Empirical Study of Bagging Predictors for Imbalanced Data with Different Levels of Class Distribution.
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

Learning Colours from Textures by Sparse Manifold Embedding.
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

An Empirical Evaluation of Bagging with Different Algorithms on Imbalanced Data.
Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011

An Empirical Study of Bagging Predictors for Different Learning Algorithms.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Introduction to the Domain-Driven Data Mining Special Section.
IEEE Trans. Knowl. Data Eng., 2010

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

Combining kNN Imputation and Bootstrap Calibrated: Empirical Likelihood for Incomplete Data Analysis.
IJDWM, 2010

Against-Expectation Pattern Discovery: Identifying Interactions within Items with Large Relative-Contrasts in Databases.
IEEE Intelligent Informatics Bulletin, 2010

Combining Support Vector Machines and the t-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 K-Nearest Neighbor Algorithm with K >= 1.
Proceedings of the Advances in 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

An ADL-Approach to Specifying and Analyzing Centralized-Mode Architectural Connection.
Proceedings of the Software Architecture, 4th European Conference, 2010

A Multiple System Performance Monitoring Model for Web Services.
Proceedings of the Agents and Data Mining Interaction, 2010

Cost Sensitive Classification in Data Mining.
Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010

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

An Agent-Based Hybrid System for Microarray Data Analysis.
IEEE Intelligent Systems, 2009

Genetic algorithm-based strategy for identifying association rules without specifying actual minimum support.
Expert Syst. Appl., 2009

Estimating confidence intervals for structural differences between contrast groups with missing data.
Expert Syst. Appl., 2009

POP algorithm: Kernel-based imputation to treat missing values in knowledge discovery from databases.
Expert Syst. Appl., 2009

Adaptive Anomaly Detection of Coupled Activity Sequences.
IEEE Intelligent Informatics Bulletin, 2009

Confidence Metrics for Association Rule Mining.
Applied Artificial Intelligence, 2009

Developing Actionable Trading Strategies for Trading Agents.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 2009

Efficient approximate entity extraction with edit distance constraints.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 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

Vague One-Class Learning for Data Streams.
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

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

Agent-Based Distributed Data Mining: A Survey.
Proceedings of the Data Mining and Multi-agent Integration, 2009

2008
Intelligent Agent.
Proceedings of the Wiley Encyclopedia of Computer Science and Engineering, 2008

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

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

Missing Value Imputation Based on Data Clustering.
Trans. Computational Science, 2008

Computing the minimum-support for mining frequent patterns.
Knowl. Inf. Syst., 2008

Editorial.
Int. J. Software and Informatics, 2008

Activity Mining: from Activities to Actions.
International Journal of Information Technology and Decision Making, 2008

Efficient Mining of Event-Oriented Negative Sequential Rules.
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

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

Cleansing Noisy Data Streams.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Multi-Space-Mapped SVMs for Multi-class Classification.
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

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

Secure Transaction Protocol Analysis: Models and Applications
Lecture Notes in Computer Science 5111, Springer, ISBN: 978-3-540-85073-1, 2008

2007
Building agent-based hybrid intelligent systems: A case study.
Web Intelligence and Agent Systems, 2007

DDDM2007: Domain Driven Data Mining.
SIGKDD Explorations, 2007

EDUA: An efficient algorithm for dynamic database mining.
Inf. Sci., 2007

The Evolution of KDD: towards Domain-Driven Data Mining.
IJPRAI, 2007

Knowledge actionability: satisfying technical and business interestingness.
IJBIDM, 2007

Domain-Driven, Actionable Knowledge Discovery.
IEEE Intelligent Systems, 2007

Detecting inconsistency in biological molecular databases using ontologies.
Data Min. Knowl. Discov., 2007

Semi-parametric optimization for missing data imputation.
Appl. Intell., 2007

On Data Structures for Association Rule Discovery.
Applied Artificial Intelligence, 2007

Efficient Attribute Reduction Based on Discernibility Matrix.
Proceedings of the Rough Sets and Knowledge Technology, Second International Conference, 2007

GBKII: An Imputation Method for Missing Values.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

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

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

Cost-Time Sensitive Decision Tree with Missing Values.
Proceedings of the Knowledge Science, 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

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

Cost-Sensitive Imputing Missing Values with Ordering.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

Measuring the Uncertainty of Differences for Contrasting Groups.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
SVM-OD: SVM Method to Detect Outliers.
Proceedings of the Foundations and Novel Approaches in Data Mining, 2006

Ontology-based integration of business intelligence.
Web Intelligence and Agent Systems, 2006

Domain-Driven Data Mining: A Practical Methodology.
IJDWM, 2006

A Neural Network Abductive Model.
Austr. J. Intelligent Information Processing Systems, 2006

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

Dynamic Focus Strategies for Electronic Trade Execution in Limit Order Markets.
Proceedings of the Eighth IEEE International Conference on E-Commerce Technology (CEC 2006) / Third IEEE International Conference on Enterprise Computing, 2006

Optimized Parameters for Missing Data Imputation.
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

Mining Frequent Itemsets for Protein Kinase Regulation.
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

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

Is Frequency Enough for Decision Makers to Make Decisions?.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

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

Identifying bridging rules between conceptual clusters.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

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

A Human-Friendly MAS for Mining Stock Data.
Proceedings of the 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2006

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

Enhancing DWT for Recent-Biased Dimension Reduction of Time Series Data.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

Adapting K-Means Algorithm for Discovering Clusters in Subspaces.
Proceedings of the Frontiers of WWW Research and Development, 2006

Detecting Collusion Attacks in Security Protocols.
Proceedings of the Frontiers of WWW Research and Development, 2006

Efficient Frequent Itemsets Mining by Sampling.
Proceedings of the Advances in Intelligent IT, 2006

Kernel-Based Multi-Imputation for Missing Data.
Proceedings of the Advances in Intelligent IT, 2006

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

Missing or absent? A Question in Cost-sensitive Decision Tree.
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

2005
Identifying Interesting Patterns in Multidatabases.
Proceedings of the Classification and Clustering for Knowledge Discovery, 2005

Guest Editors' Introduction: Special Section on Intelligent Data Preparation.
IEEE Trans. Knowl. Data Eng., 2005

An improved model-based method to test circuit faults.
Theor. Comput. Sci., 2005

ENDL: A Logical Framework for Verifying Secure Transaction Protocols.
Knowl. Inf. Syst., 2005

Database classification for multi-database mining.
Inf. Syst., 2005

Support vector machines based on K-means clustering for real-time business intelligence systems.
IJBIDM, 2005

Identifying Interesting Customers through Web Log Classification.
IEEE Intelligent Systems, 2005

Association-Based Segmentation for Chinese-Crossed Query Expansion.
IEEE Intelligent Informatics Bulletin, 2005

XEvent: An Event Notification System over Distributed Hash Table (DHT) Networks.
IEEE Intelligent Informatics Bulletin, 2005

Armga: Identifying Interesting Association Rules with Genetic Algorithms.
Applied Artificial Intelligence, 2005

A Recent-Biased Dimension Reduction Technique for Time Series Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

An Efficient Implementation of the Backtesting of Trading Strategies.
Proceedings of the Parallel and Distributed Processing and Applications, 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

Dynamic Test-Sensitive Decision Trees with Multiple Cost Scales.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

A Framework for Merging Inconsistent Beliefs in Security Protocol Analysis.
Proceedings of the 2005 International Workshop on Data Engineering Issues in E-Commerce (DEEC 2005), 2005

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

A Decremental Algorithm for Maintaining Frequent Itemsets in Dynamic Databases.
Proceedings of the Data Warehousing and Knowledge Discovery, 2005

Any-Cost Discovery: Learning Optimal Classification Rules.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 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

In-Depth Data Mining and Its Application in Stock Market.
Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005

2004
Knowledge Discovery in Multiple Databases.
Advanced Information and Knowledge Processing, Springer, ISBN: 978-0-85729-388-6, 2004

Efficient mining of both positive and negative association rules.
ACM Trans. Inf. Syst., 2004

An efficient strategy for mining exceptions in multi-databases .
Inf. Sci., 2004

A fuzzy logic based method to acquire user threshold of minimum-support for mining association rules.
Inf. Sci., 2004

Identifying Software Component Association With Genetic Algorithm.
International Journal of Software Engineering and Knowledge Engineering, 2004

Guest Editors' Introduction: Information Enhancement for Data Mining.
IEEE Intelligent Systems, 2004

Identifying Global Exceptional Patterns in Multi-database Mining.
IEEE Intelligent Informatics Bulletin, 2004

Mining Dependent Patterns In Probabilistic Databases.
Cybernetics and Systems, 2004

Clustering High-Dimensional Data with Low-Order Neighbors.
Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 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

A Platform for Dynamic Organization of Agents in Agent-Based Systems.
Proceedings of the 2004 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2004), 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

Discovering Interesting Association Rules by Clustering.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

Cost-Sensitive Decision Trees with Multiple Cost Scales.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

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

A Verification Model for Electronic Transaction Protocols.
Proceedings of the Advanced Web Technologies and Applications, 2004

KBSVM: KMeans-based SVM for Business Intelligence.
Proceedings of the 10th Americas Conference on Information Systems, 2004

Agent-Based Hybrid Intelligent Systems: An Agent-Based Framework for Complex Problem Solving
Lecture Notes in Computer Science 2938, Springer, ISBN: 3-540-20908-5, 2004

2003
Post-mining: maintenance of association rules by weighting.
Inf. Syst., 2003

Multi-Database Mining.
IEEE Computational Intelligence Bulletin, 2003

Identifying Approximate Itemsets of Interest in Large Databases.
Appl. Intell., 2003

Discovering Associations in Very Large Databases by Approximating.
Acta Cybern., 2003

A Probability Data Model and its Semantics.
Journal of Research and Practice in Information Technology, 2003

An Agent-Based Hybrid Framework for Database Mining.
Applied Artificial Intelligence, 2003

Temporal Constraint Satisfaction in Matrix Method.
Applied Artificial Intelligence, 2003

Data Preparation for Data Mining.
Applied Artificial Intelligence, 2003

Toward Databases Mining: Pre-Processing Collected Data.
Applied Artificial Intelligence, 2003

Cooperative Strategy for Web Data Mining and Cleaning.
Applied Artificial Intelligence, 2003

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

A Database-Independent Strategy for Confidence Determination.
Proceedings of the Fifteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2003), 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

Identifying Frequent Terms in Text Databases by Association Semantics.
Proceedings of the 2003 International Symposium on Information Technology (ITCC 2003), 2003

An Agent-Based Curve-Digitizing System for Well-Logging Data Management.
Proceedings of the 2003 International Symposium on Information Technology (ITCC 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

A Database-Independent Approach of Mining Association Rules with Genetic Algorithm.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003

A Ring-Based Architectural Model for Middle Agents in Agent-Based System.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003

Verifying the Payment Authorization in SET Protocol.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003

An Approach to Digitizing and Managing Well-Logging Parameter Graphs with Agent-Based Perspective.
Proceedings of the 2003 IEEE/WIC International Conference on Intelligent Agent Technology (IAT 2003), 2003

Building Agent-Based Hybrid Intelligent Systems.
Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003

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

SCTR: An Approach to Digitizing Welllogging Graphn.
Proceedings of the Sixth IASTED International Conference on Computer Graphics and Imaging, 2003

Verifying the Purchase Request in SET Protocol.
Proceedings of the Web Technologies and Applications, 5th Asian-Pacific Web Conference, 2003

2002
Encoding probability propagation in belief networks.
IEEE Trans. Systems, Man, and Cybernetics, Part A, 2002

Anytime mining for multiuser applications.
IEEE Trans. Systems, Man, and Cybernetics, Part A, 2002

A Hybrid Model for Sharing Information Between Fuzzy, Uncertain and Default Reasoning Models in Multi-agent Systems.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2002

Discovering Causality in Large Databases.
Applied Artificial Intelligence, 2002

Propagating Temporal Relations of Intervals by Matrix.
Applied Artificial Intelligence, 2002

An Agent-Based Hybrid Intelligent System for Financial Investment Planning.
Proceedings of the PRICAI 2002: Trends in Artificial Intelligence, 2002

Mining Very Large Databases Using Software Agents.
Proceedings of the 2002 International Conference on Machine Learning and Applications, 2002

Association Rule Mining by Agents.
Proceedings of the 2002 International Conference on Machine Learning and Applications, 2002

Mining Both Positive and Negative Association Rules.
Proceedings of the Machine Learning, 2002

Mind the Trends When You Mine: Incremental Data Mining.
Proceedings of the FSDK'02, 2002

Identifying Exceptional Patterns in Multi-Databases.
Proceedings of the FSDK'02, 2002

An Application of Fuzzy Cluster analysis to Matchmaking in Middle Agents.
Proceedings of the FSDK'02, 2002

An improvement to matchmaking algorithms for middle agents.
Proceedings of the First International Joint Conference on Autonomous Agents & Multiagent Systems, 2002

An Agent-Based Framework for Petroleum Information Services from Distributed Heterogeneous Data Resources.
Proceedings of the 9th Asia-Pacific Software Engineering Conference (APSEC 2002), 2002

Association Rule Mining, Models and Algorithms
Lecture Notes in Computer Science 2307, Springer, ISBN: 3-540-43533-6, 2002

2001
A model for compressing probabilities in belief networks.
Informatica (Slovenia), 2001

Information sharing between heterogeneous uncertain reasoning models in a multi-agent environment: a case study.
Int. J. Approx. Reasoning, 2001

Estimating Itemsets of Interst by Sampling.
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

Mining Small Databases by Collecting Knowledge.
Proceedings of the Database Systems for Advanced Applications, Proceedings of the 7th International Conference on Database Systems for Advanced Applications (DASFAA 2001), 18-20 April 2001, 2001

A Logical Framework for Knowledge Sharing in Multi-agent Systems.
Proceedings of the Computing and Combinatorics, 7th Annual International Conference, 2001

Post-processing of multimedia information - concents, problems, and techniques.
Proceedings of the ISCA 16th International Conference Computers and Their Applications, 2001

Approaches to implementing decision aggregation in multi-agent systems.
Proceedings of the ISCA 16th International Conference Computers and Their Applications, 2001

Reasoning with Multimedia Information Using Symbolic Projection.
Proceedings of the AI 2001: Advances in Artificial Intelligence, 2001

Pattern Discovery in Probabilistic Databases.
Proceedings of the AI 2001: Advances in Artificial Intelligence, 2001

Collecting Quality Data for Database Mining.
Proceedings of the AI 2001: Advances in Artificial Intelligence, 2001

2000
An information filtering model on the Web and its application in JobAgent.
Knowl.-Based Syst., 2000

An Agent-Based Soft Computing Society.
Proceedings of the Rough Sets and Current Trends in Computing, 2000

Perceiving Environments for Intelligent Agents.
Proceedings of the PRICAI 2000, Topics in Artificial Intelligence, 6th Pacific Rim International Conference on Artificial Intelligence, Melbourne, Australia, August 28, 2000

Building an Ontology for Financial Investment.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2000

Agent-Based Risk Learning for Computing Systems.
Proceedings of the 4th International Conference on Multi-Agent Systems, 2000

Result Fusion in Multi-Agent Systems Based on OWA Operator.
Proceedings of the 23rd Australasian Computer Science Conference (ACSC 2000), 31 January, 2000

Mobile Agents for Admitting New Students to Institutions of China.
Proceedings of the ISCA 9th International Conference on Intelligent Systems, 2000

1999
Potential Cases, Methodologies, and Strategies of Synthesis of Solutions in Distributed Expert Systems.
IEEE Trans. Knowl. Data Eng., 1999

Proof of the Correctness of EMYCIN Sequential Propagation Under Conditional Independence Assumptions.
IEEE Trans. Knowl. Data Eng., 1999

IMC: A Method for Interval Calculus in Matrix.
Knowl. Inf. Syst., 1999

An Axiom Foundation for Uncertain Reasonings in Rule-Based Expert Systems: NT-Algebra.
Knowl. Inf. Syst., 1999

Isomorphic transformations of uncertainties for incorporating EMYCIN-style and PROSPECTOR-style systems into a distributed expert system.
J. Comput. Sci. Technol., 1999

Introduction to the Special Issue on Learning in Intelligent Algorithms and Systems Design.
JACIII, 1999

A Class of Isomorphic Transformations for Integrating EMYCIN-Style and PROSPECTOR-Style Systems into a Rule-Based Multi-Agent System.
Proceedings of the Approaches to Intelligent Agents, 1999

A Serving Agent for Integrating Soft Computing and Software Agents.
Proceedings of the Advanced Topics in Artificial Intelligence, 1999

Information-Based Cooperation in Multiple Agent Systems.
Proceedings of the Advanced Topics in Artificial Intelligence, 1999

1998
LSLNCF: A Hybrid Uncertain Reasoning Model Based on Probability.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1998

A Neural Network Diagnosis Model without Disorder Independence Assumption.
Proceedings of the PRICAI'98, 1998

An efficient and practical diagnosis model.
Proceedings of the Tenth IEEE International Conference on Tools with Artificial Intelligence, 1998

1997
The Weighting Issue in Fuzzy Logic.
Informatica (Slovenia), 1997

Transformation between the EMYCIN Model and the Bayesian Network.
Proceedings of the Agents and Multi-Agent Systems Formalisms, 1997

An Algorithm for Plan Verification in Multiple Agent Systems.
Proceedings of the Agents and Multi-Agent Systems Formalisms, 1997

1996
A Unified Algebraic Structure for Uncertain Reasoning.
Proceedings of the PRICAI'96: Topics in Artificial Intelligence, 1996

An Improved Critical Diagnosis Reasoning Method.
Proceedings of the Eigth International Conference on Tools with Artificial Intelligence, 1996

Methodologies of Solution Synthesis in Distributed Expert Systems.
Proceedings of the Multi-Agent Systems: Methodologies and Applications, 1996

Application of MAS in Implementing Rational IP Routers on the Priced Internet.
Proceedings of the Multi-Agent Systems: Methodologies and Applications, 1996

1995
The design and implementation of a knowledge-based communication system in a framework for distributed expert systems.
IEEE Trans. Communications, 1995

The Consensus of Uncertainties in Distributed Expert Systems.
Proceedings of the First International Conference on Multiagent Systems, 1995

Neural Network Strategies for Solving Synthesis Problems in Non-conflilct Cases in Distributed Expert Systems.
Proceedings of the Distributed Artificial Intelligence: Architecture and Modelling, 1995

Definition and Application of a Comprehensive Framework for Distributed Problem Solving.
Proceedings of the Distributed Artificial Intelligence: Architecture and Modelling, 1995

1994
Heterogeneous Transformation of Uncertainties of Propositions Among Inexact Reasoning Models.
IEEE Trans. Knowl. Data Eng., 1994

1992
Cooperation Under Uncertainty in Distributed Expert Systems.
Artif. Intell., 1992

1991
HECODES: A Framework for Heterogeneous Cooperative Distributed Expert Systems.
Data Knowl. Eng., 1991

1990
Description and treatment of deadlocks in the Hecodes distributed expert system.
IEEE Trans. Systems, Man, and Cybernetics, 1990


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