Shichao Zhang

Qing Xie

Yanrong Guo

Pattern Recognit. Lett., 2021

Z Distance Function for KNN Classification.

[BibT_eX]

[DOI]

Jiaye Li

CoRR, 2021

M2GUDA: Multi-Metrics Graph-Based Unsupervised Domain Adaptation for Cross-Modal Hashing.

[BibT_eX]

[DOI]

Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

Multi-Graph Based Hierarchical Semantic Fusion for Cross-Modal Representation.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Aggregation Enhanced Graph Convolutional Network for Graph Classification.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

2020

Spectral clustering via half-quadratic optimization.

[BibT_eX]

[DOI]

World Wide Web, 2020

Adaptive Hashing With Sparse Matrix Factorization.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

Self-weighted Multi-view Fuzzy Clustering.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2020

Sparse Graph Connectivity for Image Segmentation.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2020

Mutual kNN based spectral clustering.

[BibT_eX]

[DOI]

Malong Tan

Lin Wu

Neural Comput. Appl., 2020

Unsupervised nonlinear feature selection algorithm via kernel function.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2020

TDHPPIR: An Efficient Deep Hashing Based Privacy-Preserving Image Retrieval Method.

[BibT_eX]

[DOI]

Neurocomputing, 2020

PAC-GAN: An effective pose augmentation scheme for unsupervised cross-view person re-identification.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Cost-sensitive KNN classification.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Adversarial Learning-Based Semantic Correlation Representation for Cross-Modal Retrieval.

[BibT_eX]

[DOI]

IEEE Multim., 2020

Outlier Detection via Kernel Preserving Embedding and Random Walk.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

2019

Low-Rank Sparse Subspace for Spectral Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2019

One-Step Multi-View Spectral Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2019

Robust Image Hashing with Tensor Decomposition.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2019

PAC-GAN: An Effective Pose Augmentation Scheme for Unsupervised Cross-View Person Re-identification.

[BibT_eX]

[DOI]

Chengyuan Zhang

Lei Zhu

CoRR, 2019

Sequential Pattern Learning via Kernel Alignment.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Advanced Computational Intelligence, 2019

2018

Supervised feature selection algorithm via discriminative ridge regression.

[BibT_eX]

[DOI]

World Wide Web, 2018

Multiple-scale cost sensitive decision tree learning.

[BibT_eX]

[DOI]

World Wide Web, 2018

Efficient Outlier Detection for High-Dimensional Data.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2018

Efficient kNN Classification With Different Numbers of Nearest Neighbors.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Local and Global Structure Preservation for Robust Unsupervised Spectral Feature Selection.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2018

Harmonious Genetic Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2018

A novel kNN algorithm with data-driven k parameter computation.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2018

Unsupervised feature selection by combining subspace learning with feature self-representation.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2018

Efficient subspace clustering based on self-representation and grouping effect.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2018

Foreword to the special issue on recent advances on pattern recognition and artificial intelligence.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2018

Sparse sample self-representation for subspace clustering.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2018

Image hashing with color vector angle.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Robust Graph Dimensionality Reduction.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Robust Feature Selection on Incomplete Data.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2017

Graph PCA Hashing for Similarity Search.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2017

Overlapping Community Detection for Multimedia Social Networks.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2017

Learning k for kNN Classification.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2017

Learning Instance Correlation Functions for Multilabel Classification.

[BibT_eX]

[DOI]

Xuelong Li

IEEE Trans. Cybern., 2017

Leverage triple relational structures via low-rank feature reduction for multi-output regression.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2017

Spectral clustering based on hypergraph and self-re-presentation.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2017

Low-rank feature selection for multi-view regression.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2017

Low-rank unsupervised graph feature selection via feature self-representation.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2017

Feature selection by combining subspace learning with sparse representation.

[BibT_eX]

[DOI]

Multim. Syst., 2017

Multimodal learning for topic sentiment analysis in microblogging.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Graph self-representation method for unsupervised feature selection.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Unsupervised feature selection for visual classification via feature-representation property.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Adaptive Hypergraph Learning for Unsupervised Feature Selection.

[BibT_eX]

[DOI]

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

Unsupervised Spectral Feature Selection with Local Structure Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Knowledge, 2017

Unsupervised Feature Selection via Local Structure Learning and Self-Representation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Knowledge, 2017

Supervised Feature Selection Algorithm Based on Low-Rank and Manifold Learning.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Robust Image Hashing With Ring Partition and Invariant Vector Distance.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2016

Block-Row Sparse Multiview Multilabel Learning for Image Classification.

[BibT_eX]

[DOI]

Xuelong Li

IEEE Trans. Cybern., 2016

Self-representation nearest neighbor search for classification.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Neighbor selection for multilabel classification.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Efficient kNN classification algorithm for big data.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Data Partitioning View of Mining Big Data.

[BibT_eX]

[DOI]

CoRR, 2016

Hypergraph Spectral Clustering via Sample Self-Representation.

[BibT_eX]

[DOI]

Proceedings of the Fuzzy Systems and Data Mining II, 2016

Supervised Feature Selection by Robust Sparse Reduced-Rank Regression.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

Unsupervised Hypergraph Feature Selection with Low-Rank and Self-Representation Constraints.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

Low-Rank Feature Reduction and Sample Selection for Multi-output Regression.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

2015

Penalized partial least square discriminant analysis with l1 for multi-label data.

[BibT_eX]

[DOI]

Pattern Recognit., 2015

Multi-view multi-sparsity kernel reconstruction for multi-class image classification.

[BibT_eX]

[DOI]

Neurocomputing, 2015

Knowledge Engineering with Big Data.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2015

2014

Clustering web documents using hierarchical representation with multi-granularity.

[BibT_eX]

[DOI]

World Wide Web, 2014

Robust Perceptual Image Hashing Based on Ring Partition and NMF.

[BibT_eX]

[DOI]

Zhenjun Tang

Xianquan Zhang

IEEE Trans. Knowl. Data Eng., 2014

MLSLR: Multilabel Learning via Sparse Logistic Regression.

[BibT_eX]

[DOI]

Inf. Sci., 2014

A New Supervised Feature Selection Method for Pattern Classification.

[BibT_eX]

[DOI]

Comput. Intell., 2014

Efficient kNN Algorithm Based on Graph Sparse Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014

Discovery of Tampered Image with Robust Hashing.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014

kNN Algorithm with Data-Driven k Value.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014

2013

Feature Selection by Joint Graph Sparse Coding.

[BibT_eX]

[DOI]

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Evaluation of Error-Sensitive Attributes.

[BibT_eX]

[DOI]

William Wu

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2013

Cost-Sensitive Classification with k-Nearest Neighbors.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Science, Engineering and Management, 2013

Bi-directional double auction for financial market simulation.

[BibT_eX]

[DOI]

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

Mixed-Norm Regression for Visual Classification.

[BibT_eX]

[DOI]

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

Mining Item Popularity for Recommender Systems.

[BibT_eX]

[DOI]

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

2012

Nearest neighbor selection for iteratively kNN imputation.

[BibT_eX]

[DOI]

J. Syst. Softw., 2012

Decision tree classifiers sensitive to heterogeneous costs.

[BibT_eX]

[DOI]

J. Syst. Softw., 2012

Noisy data elimination using mutual k-nearest neighbor for classification mining.

[BibT_eX]

[DOI]

J. Syst. Softw., 2012

Cost-sensitive classification with inadequate labeled data.

[BibT_eX]

[DOI]

Inf. Syst., 2012

Classifying Incomplete Data Using Group Difference Detection with Parimputation Approach.

[BibT_eX]

[DOI]

Int. J. Softw. Informatics, 2012

Mining bridging rules between conceptual clusters.

[BibT_eX]

[DOI]

Appl. Intell., 2012

Memory Performance Prediction of Web Server Applications Based on Grey System Theory.

[BibT_eX]

[DOI]

Proceedings of the Web Technologies and Applications - 14th Asia-Pacific Web Conference, 2012

Data Hiding Method Based on Local Image Features.

[BibT_eX]

[DOI]

Proceedings of the Active Media Technology - 8th International Conference, 2012

Perceptual Image Hashing with Histogram of Color Vector Angles.

[BibT_eX]

[DOI]

Proceedings of the Active Media Technology - 8th International Conference, 2012

A New Multi-label Learning Algorithm Using Shelly Neighbors.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012

2011

Fundamentals of association rules in data mining and knowledge discovery.

[BibT_eX]

[DOI]

WIREs Data Mining Knowl. Discov., 2011

Information enhancement for data mining.

[BibT_eX]

[DOI]

WIREs Data Mining Knowl. Discov., 2011

Missing Value Estimation for Mixed-Attribute Data Sets.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2011

Dealing with inconsistent secure messages by weighting majority.

[BibT_eX]

[DOI]

Zhi Zhong

Knowl. Based Syst., 2011

Enhancing grid-density based clustering for high dimensional data.

[BibT_eX]

[DOI]

J. Syst. Softw., 2011

Missing data imputation by utilizing information within incomplete instances.

[BibT_eX]

[DOI]

J. Syst. Softw., 2011

Shell-neighbor method and its application in missing data imputation.

[BibT_eX]

[DOI]

Appl. Intell., 2011

Feature selection using hierarchical feature clustering.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010

Cost-sensitive classification with respect to waiting cost.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2010

Summary queries for frequent itemsets mining.

[BibT_eX]

[DOI]

Jingli Lu

J. Syst. Softw., 2010

Handling over-fitting in test cost-sensitive decision tree learning by feature selection, smoothing and pruning.

[BibT_eX]

[DOI]

J. Syst. Softw., 2010

Estimating Semi-Parametric Missing Values with Iterative Imputation.

[BibT_eX]

[DOI]

Int. J. Data Warehous. Min., 2010

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

[BibT_eX]

[DOI]

Yongsong Qin

Int. J. Data Warehous. Min., 2010

A method for fuzzy risk analysis based on the new similarity of trapezoidal fuzzy numbers.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2010

Acquiring knowledge from inconsistent data sources through weighting.

[BibT_eX]

[DOI]

Qiang Yang

Data Knowl. Eng., 2010

A New Classification Algorithm Using Mutual Nearest Neighbors.

[BibT_eX]

[DOI]

Proceedings of the GCC 2010, 2010

Web User Browse Behavior Characteristic Analysis Based on a BC Tree.

[BibT_eX]

[DOI]

Dingrong Yuan

Proceedings of the Active Media Technology, 6th International Conference, 2010

Cost Sensitive Classification in Data Mining.

[BibT_eX]

[DOI]

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

Weighting imputation methods and their evaluation under shell-neighbor machine.

[BibT_eX]

[DOI]

Manlong Zhu

Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

Efficient missing data imputation for supervised learning.

[BibT_eX]

[DOI]

Manlong Zhu

Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

2009

Missing Data Analysis: A Kernel-Based Multi-Imputation Approach.

[BibT_eX]

[DOI]

Trans. Comput. Sci., 2009

A decremental algorithm of frequent itemset maintenance for mining updated databases.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2009

Mining globally interesting patterns from multiple databases using kernel estimation.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2009

Mining class-bridge rules based on rough sets.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2009

Genetic algorithm-based strategy for identifying association rules without specifying actual minimum support.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2009

Estimating confidence intervals for structural differences between contrast groups with missing data.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2009

POP algorithm: Kernel-based imputation to treat missing values in knowledge discovery from databases.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2009

Strategies for complex data cube queries.

[BibT_eX]

[DOI]

Rifeng Wang

Appl. Intell., 2009

Confidence Metrics for Association Rule Mining.

[BibT_eX]

[DOI]

Appl. Artif. Intell., 2009

2008

Detecting Differences Between Contrast Groups.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Technol. Biomed., 2008

Missing Value Imputation Based on Data Clustering.

[BibT_eX]

[DOI]

Trans. Comput. Sci., 2008

Empirical likelihood confidence intervals for differences between two datasets with missing data.

[BibT_eX]

[DOI]

Yongsong Qin

Pattern Recognit. Lett., 2008

Computing the minimum-support for mining frequent patterns.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2008

Mining follow-up correlation patterns from time-related databases.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2008

Rule-based dependency models for security protocol analysis.

[BibT_eX]

[DOI]

Yi-Ping Phoebe Chen

Integr. Comput. Aided Eng., 2008

Parimputation: From Imputation and Null-Imputation to Partially Imputation.

[BibT_eX]

[DOI]

IEEE Intell. Informatics Bull., 2008

NIIA: Nonparametric Iterative Imputation Algorithm.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

Cost-sensitive semi-supervised classification using CS-EM.

[BibT_eX]

[DOI]

Proceedings of 8th IEEE International Conference on Computer and Information Technology, 2008

Secure Transaction Protocol Analysis: Models and Applications

[BibT_eX]

[DOI]

Lecture Notes in Computer Science 5111, Springer, ISBN: 978-3-540-85073-1, 2008

2007

Editorial: Special issue on mining low-quality data.

[BibT_eX]

[DOI]

Xingquan Zhu

Taghi M. Khoshgoftaar

Ian Davidson

Knowl. Inf. Syst., 2007

EDUA: An efficient algorithm for dynamic database mining.

[BibT_eX]

[DOI]

Inf. Sci., 2007

Semi-parametric optimization for missing data imputation.

[BibT_eX]

[DOI]

Appl. Intell., 2007

On Data Structures for Association Rule Discovery.

[BibT_eX]

[DOI]

Appl. Artif. Intell., 2007

Distributed Frequent Closed Itemsets Mining.

[BibT_eX]

[DOI]

Proceedings of the Third International IEEE Conference on Signal-Image Technologies and Internet-Based System, 2007

Efficient Attribute Reduction Based on Discernibility Matrix.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology, Second International Conference, 2007

GBKII: An Imputation Method for Missing Values.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Cost-Time Sensitive Decision Tree with Missing Values.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Science, 2007

Identifying Dependency Between Secure Messages for Protocol Analysis.

[BibT_eX]

[DOI]

Yi-Ping Phoebe Chen

Proceedings of the Knowledge Science, 2007

Cost-Sensitive Imputing Missing Values with Ordering.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

Measuring the Uncertainty of Differences for Contrasting Groups.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

Generalized Dimension-Reduction Framework for Recent-Biased Time Series Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2006

A logical framework for identifying quality knowledge from different data sources.

[BibT_eX]

[DOI]

Decis. Support Syst., 2006

Mining Multiple Data Sources: Local Pattern Analysis.

[BibT_eX]

[DOI]

Mohammed Javeed Zaki

Data Min. Knowl. Discov., 2006

Mapping between Relational Database Schema and OWL Ontology for Deep Annotation.

[BibT_eX]

[DOI]

Zhuoming Xu

Yisheng Dong

Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 2006

Optimized Parameters for Missing Data Imputation.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

Is Frequency Enough for Decision Makers to Make Decisions?.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Efficient Computation of Multi-feature Data Cubes.

[BibT_eX]

[DOI]

Rifeng Wang

Yanping Guo

Proceedings of the Knowledge Science, 2006

Identifying bridging rules between conceptual clusters.

[BibT_eX]

[DOI]

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Identifying Follow-Correlation Itemset-Pairs.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Difference Detection Between Two Contrast Sets.

[BibT_eX]

[DOI]

Proceedings of the Data Warehousing and Knowledge Discovery, 8th International Conference, 2006

Enhancing DWT for Recent-Biased Dimension Reduction of Time Series Data.

[BibT_eX]

[DOI]

Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

Adapting K-Means Algorithm for Discovering Clusters in Subspaces.

[BibT_eX]

[DOI]

Proceedings of the Frontiers of WWW Research and Development, 2006

Clustering Web Documents Based on Knowledge Granularity.

[BibT_eX]

[DOI]

Faliang Huang

Proceedings of the Frontiers of WWW Research and Development, 2006

Detecting Collusion Attacks in Security Protocols.

[BibT_eX]

[DOI]

Proceedings of the Frontiers of WWW Research and Development, 2006

Efficient Frequent Itemsets Mining by Sampling.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent IT, 2006

Kernel-Based Multi-Imputation for Missing Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent IT, 2006

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

[BibT_eX]

[DOI]

Zhenxing Qin

Proceedings of the Advances in Intelligent IT, 2006

Cost-Sensitive Test Strategies.

[BibT_eX]

[DOI]

Proceedings of the Proceedings, 2006

2005

Identifying Interesting Patterns in Multidatabases.

[BibT_eX]

[DOI]

Jeffrey Xu Yu

Proceedings of the Classification and Clustering for Knowledge Discovery, 2005

"Missing Is Useful': Missing Values in Cost-Sensitive Decision Trees.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2005

ENDL: A Logical Framework for Verifying Secure Transaction Protocols.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2005

Database classification for multi-database mining.

[BibT_eX]

[DOI]

Inf. Syst., 2005

Identifying Interesting Customers through Web Log Classification.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2005

A Partial-Repeatability Approach to Data Mining.

[BibT_eX]

[DOI]

Kai-Yuan Cai

Yunfei Yin

IEEE Intell. Informatics Bull., 2005

Armga: Identifying Interesting Association Rules with Genetic Algorithms.

[BibT_eX]

[DOI]

Appl. Artif. Intell., 2005

A Recent-Biased Dimension Reduction Technique for Time Series Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

Dynamic Test-Sensitive Decision Trees with Multiple Cost Scales.

[BibT_eX]

[DOI]

Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

A Framework for Merging Inconsistent Beliefs in Security Protocol Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2005 International Workshop on Data Engineering Issues in E-Commerce (DEEC 2005), 2005

A Decremental Algorithm for Maintaining Frequent Itemsets in Dynamic Databases.

[BibT_eX]

[DOI]

Proceedings of the Data Warehousing and Knowledge Discovery, 2005

In-Depth Data Mining and Its Application in Stock Market.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005

2004

Knowledge Discovery in Multiple Databases.

[BibT_eX]

[DOI]

Advanced Information and Knowledge Processing, Springer, ISBN: 978-0-85729-388-6, 2004

Efficient mining of both positive and negative association rules.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2004

An efficient strategy for mining exceptions in multi-databases .

[BibT_eX]

[DOI]

Jeffrey Xu Yu

Inf. Sci., 2004

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

[BibT_eX]

[DOI]

Jingli Lu

Inf. Sci., 2004

Identifying Software Component Association With Genetic Algorithm.

[BibT_eX]

[DOI]

Int. J. Softw. Eng. Knowl. Eng., 2004

Guest Editors' Introduction: Information Enhancement for Data Mining.

[BibT_eX]

[DOI]

Qiang Yang

IEEE Intell. Syst., 2004

Identifying Global Exceptional Patterns in Multi-database Mining.

[BibT_eX]

[DOI]

IEEE Intell. Informatics Bull., 2004

Mining Dependent Patterns In Probabilistic Databases.

[BibT_eX]

[DOI]

Jeffrey Xu Yu

Cybern. Syst., 2004

Is Minimum-Support Appropriate to Identifying Large Itemsets?

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

Dealing with Inconsistent Secure Messages.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

Mining Term Association Rules for Heuristic Query Construction.

[BibT_eX]

[DOI]

Zhenxing Qin

Li Liu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Decision trees with minimal costs.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2004

Discovering Interesting Association Rules by Clustering.

[BibT_eX]

[DOI]

Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

Cost-Sensitive Decision Trees with Multiple Cost Scales.

[BibT_eX]

[DOI]

Zhenxing Qin

Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

A Verification Model for Electronic Transaction Protocols.

[BibT_eX]

[DOI]

Proceedings of the Advanced Web Technologies and Applications, 2004

2003

Synthesizing High-Frequency Rules from Different Data Sources.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2003

Post-mining: maintenance of association rules by weighting.

[BibT_eX]

[DOI]

Inf. Syst., 2003

Multi-Database Mining.

[BibT_eX]

[DOI]

IEEE Intell. Informatics Bull., 2003

Identifying Approximate Itemsets of Interest in Large Databases.

[BibT_eX]

[DOI]

Geoffrey I. Webb

Appl. Intell., 2003

Discovering Associations in Very Large Databases by Approximating.

[BibT_eX]

[DOI]

Acta Cybern., 2003

A Probability Data Model and its Semantics.

[BibT_eX]

J. Res. Pract. Inf. Technol., 2003

An Agent-Based Hybrid Framework for Database Mining.

[BibT_eX]

[DOI]

Zili Zhang

Appl. Artif. Intell., 2003

Temporal Constraint Satisfaction in Matrix Method.

[BibT_eX]

[DOI]

Zili Zhang

Appl. Artif. Intell., 2003

Data Preparation for Data Mining.

[BibT_eX]

[DOI]

Qiang Yang

Appl. Artif. Intell., 2003

Toward Databases Mining: Pre-Processing Collected Data.

[BibT_eX]

[DOI]

Appl. Artif. Intell., 2003

Cooperative Strategy for Web Data Mining and Cleaning.

[BibT_eX]

[DOI]

Yuefeng Li

Appl. Artif. Intell., 2003

A Database-Independent Strategy for Confidence Determination.

[BibT_eX]

Proceedings of the Fifteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2003), 2003

Identifying Frequent Terms in Text Databases by Association Semantics.

[BibT_eX]

[DOI]

Proceedings of the 2003 International Symposium on Information Technology (ITCC 2003), 2003

A Database-Independent Approach of Mining Association Rules with Genetic Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Data Engineering and Automated Learning, 2003

Verifying the Payment Authorization in SET Protocol.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Data Engineering and Automated Learning, 2003

Verifying the Purchase Request in SET Protocol.

[BibT_eX]

[DOI]

Proceedings of the Web Technologies and Applications, 5th Asian-Pacific Web Conference, 2003

2002

Encoding probability propagation in belief networks.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part A, 2002

Anytime mining for multiuser applications.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part A, 2002

Discovering Causality in Large Databases.

[BibT_eX]

[DOI]

Appl. Artif. Intell., 2002

Propagating Temporal Relations of Intervals by Matrix.

[BibT_eX]

[DOI]

Appl. Artif. Intell., 2002

Mining Very Large Databases Using Software Agents.

[BibT_eX]

Proceedings of the 2002 International Conference on Machine Learning and Applications, 2002

Association Rule Mining by Agents.

[BibT_eX]

Proceedings of the 2002 International Conference on Machine Learning and Applications, 2002

Mining Both Positive and Negative Association Rules.

[BibT_eX]

Proceedings of the Machine Learning, 2002

Database clustering for mining multi-databases.

[BibT_eX]

[DOI]

Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

Mind the Trends When You Mine: Incremental Data Mining.

[BibT_eX]

Proceedings of the FSDK'02, 2002

Identifying Exceptional Patterns in Multi-Databases.

[BibT_eX]

Proceedings of the FSDK'02, 2002

Association Rule Mining, Models and Algorithms

[BibT_eX]

[DOI]

Lecture Notes in Computer Science 2307, Springer, ISBN: 3-540-43533-6, 2002

2001

A model for compressing probabilities in belief networks.

[BibT_eX]

Informatica (Slovenia), 2001

Large Scale Data Mining Based on Data Partitioning.

[BibT_eX]

[DOI]

Appl. Artif. Intell., 2001

Estimating Itemsets of Interst by Sampling.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

Mining Small Databases by Collecting Knowledge.

[BibT_eX]

[DOI]