Joshua Zhexue Huang

According to our database1, Joshua Zhexue Huang authored at least 180 papers between 1991 and 2019.

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Bibliography

2019
Semi-supervised Aspect-level Sentiment Classification Model based on Variational Autoencoder.
Knowl.-Based Syst., 2019

A distributed data management system to support large-scale data analysis.
Journal of Systems and Software, 2019

Exploring and cleaning big data with random sample data blocks.
J. Big Data, 2019

A new kernel density estimator based on the minimum entropy of data set.
Inf. Sci., 2019

Joint Optimization of Energy Consumption and Latency in Mobile Edge Computing for Internet of Things.
IEEE Internet of Things Journal, 2019

Latent Feature Group Learning for High-Dimensional Data Clustering.
Information, 2019

C3C: A New Static Content-Based Three-Level Web Cache.
IEEE Access, 2019

An Asymptotic Ensemble Learning Framework for Big Data Analysis.
IEEE Access, 2019

EAN: Event Attention Network for Stock Price Trend Prediction based on Sentimental Embedding.
Proceedings of the 11th ACM Conference on Web Science, 2019

Machine Learning Based Dynamic Cooperative Transmission Framework for IoUT Networks.
Proceedings of the 16th Annual IEEE International Conference on Sensing, 2019

A New Location-Based Topic Model for Event Attendees Recommendation.
Proceedings of the 2019 IEEE-RIVF International Conference on Computing and Communication Technologies, 2019

Neural Network-Based Deep Encoding for Mixed-Attribute Data Classification.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2019

Efficiently Mining Maximal Diverse Frequent Itemsets.
Proceedings of the Database Systems for Advanced Applications, 2019

2018
Local Adaptive Projection Framework for Feature Selection of Labeled and Unlabeled Data.
IEEE Trans. Neural Netw. Learning Syst., 2018

An Algorithm for Clustering Categorical Data With Set-Valued Features.
IEEE Trans. Neural Netw. Learning Syst., 2018

PurTreeClust: A Clustering Algorithm for Customer Segmentation from Massive Customer Transaction Data.
IEEE Trans. Knowl. Data Eng., 2018

TWCC: Automated Two-way Subspace Weighting Partitional Co-Clustering.
Pattern Recognition, 2018

Weakly supervised topic sentiment joint model with word embeddings.
Knowl.-Based Syst., 2018

I-nice: A new approach for identifying the number of clusters and initial cluster centres.
Inf. Sci., 2018

CPLP: An algorithm for tracking the changes of power consumption patterns in load profile data over time.
Inf. Sci., 2018

A smart artificial bee colony algorithm with distance-fitness-based neighbor search and its application.
Future Generation Comp. Syst., 2018

Determining the optimal temperature parameter for Softmax function in reinforcement learning.
Appl. Soft Comput., 2018

Random weight network-based fuzzy nonlinear regression for trapezoidal fuzzy number data.
Appl. Soft Comput., 2018

Cluster Survival Model of Concept Drift in Load Profile Data.
IEEE Access, 2018

Investigating Deep Reinforcement Learning Techniques in Personalized Dialogue Generation.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Particle Swarm Optimization-Based Weighted-Nadaraya-Watson Estimator.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018

Spectral Clustering of Large-scale Data by Directly Solving Normalized Cut.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

A Two-Stage Data Processing Algorithm to Generate Random Sample Partitions for Big Data Analysis.
Proceedings of the Cloud Computing - CLOUD 2018, 2018

High-Dimensional Limited-Sample Biomedical Data Classification Using Variational Autoencoder.
Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018

Slice_OP: Selecting Initial Cluster Centers Using Observation Points.
Proceedings of the Advanced Data Mining and Applications - 14th International Conference, 2018

2017
Ensemble subspace clustering of text data using two-level features.
Int. J. Machine Learning & Cybernetics, 2017

Query ranking model for search engine query recommendation.
Int. J. Machine Learning & Cybernetics, 2017

Fuzziness based semi-supervised learning approach for intrusion detection system.
Inf. Sci., 2017

Local PurTree Spectral Clustering for Massive Customer Transaction Data.
IEEE Intelligent Systems, 2017

A Random Sample Partition Data Model for Big Data Analysis.
CoRR, 2017

k-mw-modes: An algorithm for clustering categorical matrix-object data.
Appl. Soft Comput., 2017

A fuzzy SV-k-modes algorithm for clustering categorical data with set-valued attributes.
Applied Mathematics and Computation, 2017

A New Static Web Caching Mechanism Based on Mutual Dependency Between Result Cache and Posting List Cache.
Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

Self-adaptive Weighted Extreme Learning Machine for Imbalanced Classification Problems.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2017

Semi-supervised Feature Selection via Rescaled Linear Regression.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Scalable Normalized Cut with Improved Spectral Rotation.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Improving Generalization Capability of Extreme Learning Machine with Synthetic Instances Generation.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

A Self-Balanced Min-Cut Algorithm for Image Clustering.
Proceedings of the IEEE International Conference on Computer Vision, 2017

I-Sampling: A New Block-Based Sampling Method for Large-Scale Dataset.
Proceedings of the 2017 IEEE International Congress on Big Data, 2017

2016
Learning distributed word representation with multi-contextual mixed embedding.
Knowl.-Based Syst., 2016

Fuzzy nonlinear regression analysis using a random weight network.
Inf. Sci., 2016

An incremental model on search engine query recommendation.
Neurocomputing, 2016

Incremental density-based ensemble clustering over evolving data streams.
Neurocomputing, 2016

Big data analytics on Apache Spark.
Int. J. Data Sci. Anal., 2016

Segmentation of Factories on Electricity Consumption Behaviors Using Load Profile Data.
IEEE Access, 2016

A frequency-based gene selection method with random forests for gene data analysis.
Proceedings of the 2016 IEEE RIVF International Conference on Computing & Communication Technologies, 2016

Imbalanced ELM Based on Normal Density Estimation for Binary-Class Classification.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2016

Stratified Over-Sampling Bagging Method for Random Forests on Imbalanced Data.
Proceedings of the Intelligence and Security Informatics - 11th Pacific Asia Workshop, 2016

PurTreeClust: A purchase tree clustering algorithm for large-scale customer transaction data.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Empirical analysis of asymptotic ensemble learning for big data.
Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, 2016

2015
Stratified feature sampling method for ensemble clustering of high dimensional data.
Pattern Recognition, 2015

Two-level quantile regression forests for bias correction in range prediction.
Machine Learning, 2015

Dynamic non-parametric joint sentiment topic mixture model.
Knowl.-Based Syst., 2015

Identifying and Analyzing Popular Phrases Multi-Dimensionally in Social Media Data.
IJDWM, 2015

Recommending high-utility search engine queries via a query-recommending model.
Neurocomputing, 2015

Editorial: Uncertainty in learning from big data.
Fuzzy Sets and Systems, 2015

Genome-wide association data classification and SNPs selection using two-stage quality-based Random Forests.
BMC Genomics, 2015

A New Feature Sampling Method in Random Forests for Predicting High-Dimensional Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Use Correlation Coefficients in Gaussian Process to Train Stable ELM Models.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

2014
A Novel Variable-order Markov Model for Clustering Categorical Sequences.
IEEE Trans. Knowl. Data Eng., 2014

Trend analysis of categorical data streams with a concept change method.
Inf. Sci., 2014

QRM: A Probabilistic Model for Search Engine Query Recommendation.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2014

Extensions to Quantile Regression Forests for Very High-Dimensional Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Ensemble Clustering of High Dimensional Data with FastMap Projection.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2014

A LDA Feature Grouping Method for Subspace Clustering of Text Data.
Proceedings of the Intelligence and Security Informatics - Pacific Asia Workshop, 2014

Bias-corrected Quantile Regression Forests for high-dimensional data.
Proceedings of the 2014 International Conference on Machine Learning and Cybernetics, 2014

2013
TW-k-Means: Automated Two-Level Variable Weighting Clustering Algorithm for Multiview Data.
IEEE Trans. Knowl. Data Eng., 2013

Privacy Preserving Distributed DBSCAN Clustering.
Trans. Data Privacy, 2013

Stratified sampling for feature subspace selection in random forests for high dimensional data.
Pattern Recognition, 2013

An ensemble of decision cluster crotches for classification of high dimensional data.
Knowl.-Based Syst., 2013

Post-processing strategies for improving local gene expression pattern analysis.
IJDMB, 2013

A Concept-Drifting Detection Algorithm for Categorical Evolving Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

A hybrid optimization method for acceleration of building linear classification models.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
A feature group weighting method for subspace clustering of high-dimensional data.
Pattern Recognition, 2012

Topic oriented community detection through social objects and link analysis in social networks.
Knowl.-Based Syst., 2012

Classifying Very High-Dimensional Data with Random Forests Built from Small Subspaces.
IJDWM, 2012

Using a Variable Weighting k-Means Method to Build a Decision Cluster Classification Model.
IJPRAI, 2012

Batch-Mode Active Learning with Semi-supervised Cluster Tree for Text Classification.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence, 2012

Hybrid Random Forests: Advantages of Mixed Trees in Classifying Text Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Scalable Random Forests for Massive Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Multi-Layer Network for Influence Propagation over Microblog.
Proceedings of the Intelligence and Security Informatics - Pacific Asia Workshop, 2012

Privacy preserving distributed DBSCAN clustering.
Proceedings of the 2012 Joint EDBT/ICDT Workshops, Berlin, Germany, March 30, 2012, 2012

Scalable Subspace Logistic Regression Models for High Dimensional Data.
Proceedings of the Web Technologies and Applications - 14th Asia-Pacific Web Conference, 2012

2011
Clustering categorical data streams.
J. Comput. Meth. in Science and Engineering, 2011

Integrating constraints to support legally flexible business processes.
Information Systems Frontiers, 2011

A Heuristic Algorithm for the Inner-City Multi-Drop: Container Loading Problem.
IJORIS, 2011

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

High-Order Co-clustering Text Data on Semantics-Based Representation Model.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Order batching and picking in a synchronized zone order picking system.
Proceedings of the 2011 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2011

A New Markov Model for Clustering Categorical Sequences.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Rating: Privacy Preservation for Multiple Attributes with Different Sensitivity Requirements.
Proceedings of the Data Mining Workshops (ICDMW), 2011

2010
Knowledge-based vector space model for text clustering.
Knowl. Inf. Syst., 2010

Exploiting Word Cluster Information for Unsupervised Feature Selection.
Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010

Mining Trajectory Corridors Using Fréchet Distance and Meshing Grids.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Minimum Spanning Tree Based Classification Model for Massive Data with MapReduce Implementation.
Proceedings of the ICDMW 2010, 2010

CPLDP: An Efficient Large Dataset Processing System Built on Cloud Platform.
Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010

2009
Soft Subspace Clustering for High-Dimensional Data.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Clustering Categorical Data with k-Modes.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

SMART: a subspace clustering algorithm that automatically identifies the appropriate number of clusters.
IJDMMM, 2009

2008
CNP-based Implementation of Service-oriented Workflow Mapping in SHGWMS.
World Wide Web, 2008

Agglomerative Fuzzy K-Means Clustering Algorithm with Selection of Number of Clusters.
IEEE Trans. Knowl. Data Eng., 2008

Feature Weighting Random Forest for Detection of Hidden Web Search Interfaces.
IJCLCLP, 2008

Fuzzy K-Means with Variable Weighting in High Dimensional Data Analysis.
Proceedings of the Ninth International Conference on Web-Age Information Management, 2008

A Changing Window Approach to Exploring Gene Expression Patterns.
Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

Building a Decision Cluster Classification Model for High Dimensional Data by a Variable Weighting k-Means Method.
Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

2007
An Entropy Weighting k-Means Algorithm for Subspace Clustering of High-Dimensional Sparse Data.
IEEE Trans. Knowl. Data Eng., 2007

On the Impact of Dissimilarity Measure in k-Modes Clustering Algorithm.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

Adaptive scheduling for shared window joins over data streams.
Frontiers Comput. Sci. China, 2007

Learning classifier system ensemble and compact rule set.
Connect. Sci., 2007

A New Initialization Method for Clustering Categorical Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

PAKDD 2007 Industrial Track Workshop.
Proceedings of the Emerging Technologies in Knowledge Discovery and Data Mining, 2007

2006
Automatic Transaction Compensation for Reliable Grid Applications.
J. Comput. Sci. Technol., 2006

Ensemble Learning Classifier System and Compact Ruleset.
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

Neighborhood Density Method for Selecting Initial Cluster Centers in K-Means Clustering.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

A Fast Greedy Algorithm for Outlier Mining.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Clustering of SNP Data with Application to Genomics.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

SLF4SS: Facilitating Flexible Services Selection.
Proceedings of the 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2006

MFCRank: A Web Ranking Algorithm Based on Correlation of Multiple Features.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2006

A Case-Based Data Mining Platform.
Proceedings of the Data Mining - Theory, Methodology, Techniques, and Applications, 2006

Supplier Categorization with K-Means Type Subspace Clustering.
Proceedings of the Frontiers of WWW Research and Development, 2006

2005
Automated Variable Weighting in k-Means Type Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

Adaptive grid job scheduling with genetic algorithms.
Future Generation Comp. Syst., 2005

FP-outlier: Frequent pattern based outlier detection.
Comput. Sci. Inf. Syst., 2005

On the Performance of Feature Weighting K-Means for Text Subspace Clustering.
Proceedings of the Advances in Web-Age Information Management, 2005

A Neighborhood-Based Clustering Algorithm.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

Subspace Clustering of Text Documents with Feature Weighting K-Means Algorithm.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

LCSE: Learning Classifier System Ensemble for Incremental Medical Instances.
Proceedings of the Learning Classifier Systems, International Workshops, 2005

Ontology-Based E-Catalog Matching for Integration of GDSN and EPCglobal Network.
Proceedings of the 2005 IEEE International Conference on e-Business Engineering (ICEBE 2005), 2005

Learning classifier system ensemble for data mining.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

2004
Web services: problems and future directions.
J. Web Semant., 2004

An optimization algorithm for clustering using weighted dissimilarity measures.
Pattern Recognition, 2004

Mining class outliers: concepts, algorithms and applications in CRM.
Expert Syst. Appl., 2004

Real-time transaction processing for autonomic Grid applications.
Eng. Appl. of AI, 2004

Clustering Categorical Data Streams
CoRR, 2004

Improved Email Classification through Enriched Feature Space.
Proceedings of the Advances in Web-Age Information Management: 5th International Conference, 2004

Mining Frequent Items in Spatio-temporal Databases.
Proceedings of the Advances in Web-Age Information Management: 5th International Conference, 2004

A Frequent Pattern Discovery Method for Outlier Detection.
Proceedings of the Advances in Web-Age Information Management: 5th International Conference, 2004

Mining Class Outliers: Concepts, Algorithms and Applications.
Proceedings of the Advances in Web-Age Information Management: 5th International Conference, 2004

A Categorized-Registry Model for Grid Resource Publication and Discovery Using Software Agents.
Proceedings of the Parallel and Distributed Computing: Applications and Technologies, 2004

Mining of Web-Page Visiting Patterns with Continuous-Time Markov Models.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

A Real-Time Transaction Approach for Grid Services: A Model and Algorithms.
Proceedings of the Network and Parallel Computing, IFIP International Conference, 2004

Enhanced Email Classification Based on Feature Space Enriching.
Proceedings of the Natural Language Processing and Information Systems, 2004

A Feature Weighting Approach to Building Classification Models by Interactive Clustering.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2004

Petri-Net-Based Coordination Algorithms for Grid Transactions.
Proceedings of the Parallel and Distributed Processing and Applications, 2004

Service Selection in Dynamic Demand-Driven Web Services.
Proceedings of the IEEE International Conference on Web Services (ICWS'04), 2004

An Ontology-Based Model for Grid Resource Publication and Discovery.
Proceedings of the Grid and Cooperative Computing, 2004

On Improving Website Connectivity by Using Web-Log Data Streams.
Proceedings of the Database Systems for Advances Applications, 2004

Meta-game Equilibrium for Multi-agent Reinforcement Learning.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

iSurfer: A Focused Web Crawler Based on Incremental Learning from Positive Samples.
Proceedings of the Advanced Web Technologies and Applications, 2004

An Efficient Multidimensional Data Model for Web Usage Mining.
Proceedings of the Advanced Web Technologies and Applications, 2004

2003
A Data Cube Model for Prediction-Based Web Prefetching.
J. Intell. Inf. Syst., 2003

Data Mining and Case-Based Reasoning for Distance Learning.
IJDET, 2003

A Note on K-modes Clustering.
J. Classification, 2003

Uni-Grid P&T: A Toolkit for Building Customizable Grid Portals.
Proceedings of the Web Services, 2003

Adaptive Job Scheduling for a Service Grid Using a Genetic Algorithm.
Proceedings of the Grid and Cooperative Computing, Second International Workshop, 2003

Statistical models for time sequences data mining.
Proceedings of the 2003 IEEE International Conference on Computational Intelligence for Financial Engineering, 2003

C3: A New Learning Scheme to Improve Classification of Rare Category Emails.
Proceedings of the AI 2003: Advances in Artificial Intelligence, 2003

2002
M-FastMap: A Modified FastMap Algorithm for Visual Cluster Validation in Data Mining.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2002

An Open Framework for Smart and Personalized Distance Learning.
Proceedings of the Advances in Web-Based Learning, First International Conference, 2002

2001
Patterns Discovery Based on Time-Series Decomposition.
Proceedings of the Knowledge Discovery and Data Mining, 2001

A Cube Model and Cluster Analysis for Web Access Sessions.
Proceedings of the WEBKDD 2001, 2001

An Empirical Study on the Visual Cluster Validation Method with Fastmap.
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

2000
Data Mining in Disease Management - A Diabetes Case Study.
Proceedings of the PRICAI 2000, Topics in Artificial Intelligence, 6th Pacific Rim International Conference on Artificial Intelligence, Melbourne, Australia, August 28, 2000

A Visual Method of Cluster Validation with Fastmap.
Proceedings of the Knowledge Discovery and Data Mining, 2000

An Interactive Approach to Building Classification Models by Clustering and Cluster Validation.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2000

1999
A fuzzy k-modes algorithm for clustering categorical data.
IEEE Trans. Fuzzy Systems, 1999

Data-mining massive time series astronomical data: challenges, problems and solutions.
Information & Software Technology, 1999

1998
Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values.
Data Min. Knowl. Discov., 1998

Data-Mining Massive Time Series Astronomical Data Sets - A Case Study.
Proceedings of the Research and Development in Knowledge Discovery and Data Mining, 1998

1997
A Fast Clustering Algorithm to Cluster Very Large Categorical Data Sets in Data Mining.
Proceedings of the Workshop on Research Issues on Data Mining and Knowledge Discovery, 1997

Mining the Knowledge Mine: The Hot Spots Methodology for Mining Large Real World Databases.
Proceedings of the Advanced Topics in Artificial Intelligence, 1997

Boosting Neural Networks in Real Worls Applications: An Empirical Study.
Proceedings of the Advanced Topics in Artificial Intelligence, 1997

1993
Neighborhood Query and Analysis with GeoSAL, a Spatial Database Language.
Proceedings of the Advances in Spatial Databases, 1993

1992
Solving Spatial Analysis Problems with GeoSAL, A Spatial Query Language.
Proceedings of the 6th Int. Working Conf. on Scientific and Statistical Database Management, 1992

1991
Geo-SAL: A Query Language for Spatial Data Analysis.
Proceedings of the Advances in Spatial Databases, 1991


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