Huidong Jin

According to our database1, Huidong Jin authored at least 50 papers between 2000 and 2017.

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Bibliography

2017
A decision support system for detecting serial crimes.
Knowl.-Based Syst., 2017

2016
ZERO++: Harnessing the Power of Zero Appearances to Detect Anomalies in Large-Scale Data Sets.
J. Artif. Intell. Res., 2016

2015
Trajectory Data Mining in Distributed Sensor Networks.
IJDSN, 2015

CenKNN: a scalable and effective text classifier.
Data Min. Knowl. Discov., 2015

2013
An effective class-centroid-based dimension reduction method for text classification.
Proceedings of the 22nd International World Wide Web Conference, 2013

Semantic Title Evaluation and Recommendation Based on Topic Models.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

2012
Sequential latent Dirichlet allocation.
Knowl. Inf. Syst., 2012

Modelling Sequential Text with an Adaptive Topic Model.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

2010
Processing Constrained k-Closest Pairs Queries in Crime Databases.
Proceedings of the Security Informatics, 2010

Signaling Potential Adverse Drug Reactions from Administrative Health Databases.
IEEE Trans. Knowl. Data Eng., 2010

A segmented topic model based on the two-parameter Poisson-Dirichlet process.
Machine Learning, 2010

Mining consequence events in temporal health data.
Intell. Data Anal., 2010

Adaptive, convergent, and diversified archiving strategy for multiobjective evolutionary algorithms.
Expert Syst. Appl., 2010

KISTCM: knowledge discovery system for traditional Chinese medicine.
Appl. Intell., 2010

PutMode: prediction of uncertain trajectories in moving objects databases.
Appl. Intell., 2010

Detecting Network Anomalies in Mixed-Attribute Data Sets.
Proceedings of the Third International Conference on Knowledge Discovery and Data Mining, 2010

Sequential Latent Dirichlet Allocation: Discover Underlying Topic Structures within a Document.
Proceedings of the ICDM 2010, 2010

An Effective Pattern Based Outlier Detection Approach for Mixed Attribute Data.
Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010

2009
A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data
CoRR, 2009

A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

2008
Mining Unexpected Temporal Associations: Applications in Detecting Adverse Drug Reactions.
IEEE Trans. Information Technology in Biomedicine, 2008

A Simple WordNet-Ontology Based Email Retrieval System for Digital Forensics.
Proceedings of the Intelligence and Security Informatics, 2008

Constrained k-closest pairs query processing based on growing window in crime databases.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2008

A latent semantic indexing and WordNet based information retrieval model for digital forensics.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2008

Knowledge Discovery from Honeypot Data for Monitoring Malicious Attacks.
Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

2007
Discovering Prediction Model for Environmental Distribution Maps.
Proceedings of the Emerging Technologies in Knowledge Discovery and Data Mining, 2007

Privacy-Preserving Sequential Pattern Release.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Practical Issues on Privacy-Preserving Health Data Mining.
Proceedings of the Emerging Technologies in Knowledge Discovery and Data Mining, 2007

Interactive Reconstruction of Archaeological Fragments in a Collaborative Environment.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2007

A HMM-Based Hierarchical Framework for Long-Term Population Projection of Small Areas.
Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007

Optimal Learning High-Order Markov Random Fields Priors of Colour Image.
Proceedings of the Computer Vision, 2007

2006
Mining Unexpected Associations for Signalling Potential Adverse Drug Reactions from Administrative Health Databases.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Stock Trend Analysis and Trading Strategy.
Proceedings of the 2006 Joint Conference on Information Sciences, 2006

Analysis of Breast Feeding Data Using Data Mining Methods.
Proceedings of the Data Mining and Analytics 2006, 2006

Identifying Risk Groups Associated with Colorectal Cancer.
Proceedings of the Data Mining - Theory, Methodology, Techniques, and Applications, 2006

2005
Scalable model-based cluster analysis using clustering features.
Pattern Recognition, 2005

Scalable Model-Based Clustering for Large Databases Based on Data Summarization.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

Representing Association Classification Rules Mined from Health Data.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Mining risk patterns in medical data.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Automatic Feature Selection for Classification of Health Data.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

A Delivery Framework for Health Data Mining and Analytics.
Proceedings of the Computer Science 2005, 2005

2004
Expanding Self-Organizing Map for data visualization and cluster analysis.
Inf. Sci., 2004

An expanding self-organizing neural network for the traveling salesman problem.
Neurocomputing, 2004

Temporal Sequence Associations for Rare Events.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

2003
An efficient self-organizing map designed by genetic algorithms for the traveling salesman problem.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2003

Scalable Model-based Clustering by Working on Data Summaries.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2002
An automata network for performing combinatorial optimization.
Neurocomputing, 2002

Scaling-Up Model-Based Clustering Algorithm by Working on Clustering Features.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2002

A Self-Organizing Map with Expanding Force for Data Clustering and Visualization.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

2000
Designing an Expanded SOM for the Traveling Salesman Problem by Genetic Algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000


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