Joshua Zhexue Huang

Qiang Wang, Yunming Ye, Joshua Zhexue Huang, Shengzhong Feng: Post-processing strategies for improving local gene expression pattern analysis. IJDMB 7(1): 1-21 (2013)

Yan Li, Yunming Ye, Zhaocai Sun, Edward Hung, Joshua Zhexue Huang, Yueping Li: An ensemble of decision cluster crotches for classification of high dimensional data. Knowl.-Based Syst. 43: 63-73 (2013)

Yunming Ye, Qingyao Wu, Joshua Zhexue Huang, Michael K. Ng, Xutao Li: Stratified sampling for feature subspace selection in random forests for high dimensional data. Pattern Recognition 46(3): 769-787 (2013)

Xiaojun Chen, Xiaofei Xu, Joshua Zhexue Huang, Yunming Ye: TW-$(k)$-Means: Automated Two-Level Variable Weighting Clustering Algorithm for Multiview Data. IEEE Trans. Knowl. Data Eng. 25(4): 932-944 (2013)

Fuyuan Cao, Joshua Zhexue Huang: A Concept-Drifting Detection Algorithm for Categorical Evolving Data. PAKDD (2) 2013: 485-496

Yan Li, Edward Hung, Korris Chung, Joshua Zhexue Huang: Using a Variable Weighting k-Means Method to Build a Decision Cluster Classification Model. IJPRAI 26(2) (2012)

Baoxun Xu, Joshua Zhexue Huang, Graham J. Williams, Qiang Wang, Yunming Ye: Classifying Very High-Dimensional Data with Random Forests Built from Small Subspaces. IJDWM 8(2): 44-63 (2012)

Zhongying Zhao, Shengzhong Feng, Qiang Wang, Joshua Zhexue Huang, Graham J. Williams, Jianping Fan: Topic oriented community detection through social objects and link analysis in social networks. Knowl.-Based Syst. 26: 164-173 (2012)

Xiaojun Chen, Yunming Ye, Xiaofei Xu, Joshua Zhexue Huang: A feature group weighting method for subspace clustering of high-dimensional data. Pattern Recognition 45(1): 434-446 (2012)

Shuang Wang, Xiaojun Chen, Joshua Zhexue Huang, Shengzhong Feng: Scalable Subspace Logistic Regression Models for High Dimensional Data. APWeb 2012: 685-694

Jinfei Liu, Joshua Zhexue Huang, Jun Luo, Li Xiong: Privacy preserving distributed DBSCAN clustering. EDBT/ICDT Workshops 2012: 177-185

Chao Li, Jun Luo, Joshua Zhexue Huang, Jianping Fan: Multi-Layer Network for Influence Propagation over Microblog. PAISI 2012: 60-72

Bingguo Li, Xiaojun Chen, Mark Junjie Li, Joshua Zhexue Huang, Shengzhong Feng: Scalable Random Forests for Massive Data. PAKDD (1) 2012: 135-146

Baoxun Xu, Joshua Zhexue Huang, Graham J. Williams, Mark Junjie Li, Yunming Ye: Hybrid Random Forests: Advantages of Mixed Trees in Classifying Text Data. PAKDD (1) 2012: 147-158

Longbing Cao, Joshua Zhexue Huang, James Bailey, Yun Sing Koh, Jun Luo (Eds.): New Frontiers in Applied Data Mining - PAKDD 2011 International Workshops, Shenzhen, China, May 24-27, 2011, Revised Selected Papers. Lecture Notes in Computer Science 7104, Springer 2012, isbn 978-3-642-28319-2

Tao Yang, Vojislav Kecman, Longbing Cao, Chengqi Zhang, Joshua Zhexue Huang: Margin-based ensemble classifier for protein fold recognition. Expert Syst. Appl. 38(10): 12348-12355 (2011)

Li Pan, Sydney C. K. Chu, Guangyue Han, Joshua Zhexue Huang: A Heuristic Algorithm for the Inner-City Multi-Drop: Container Loading Problem. IJORIS 2(3): 1-19 (2011)

Yuqing Sun, Joshua Zhexue Huang, Xiangxu Meng: Integrating constraints to support legally flexible business processes. Information Systems Frontiers 13(2): 171-189 (2011)

Zengyou He, Xiaofei Xu, Shengchun Deng, Joshua Zhexue Huang: Clustering categorical data streams. J. Comput. Meth. in Science and Engineering 11(4): 185-192 (2011)

Jinfei Liu, Jun Luo, Joshua Zhexue Huang: Rating: Privacy Preservation for Multiple Attributes with Different Sensitivity Requirements. ICDM Workshops 2011: 666-673

Tengke Xiong, Shengrui Wang, Qingshan Jiang, Joshua Zhexue Huang: A New Markov Model for Clustering Categorical Sequences. ICDM 2011: 854-863

Li Pan, Joshua Zhexue Huang, Sydney C. K. Chu: Order batching and picking in a synchronized zone order picking system. IEEM 2011: 156-160

Liping Jing, Jiali Yun, Jian Yu, Joshua Zhexue Huang: High-Order Co-clustering Text Data on Semantics-Based Representation Model. PAKDD (1) 2011: 171-182

Joshua Zhexue Huang, Longbing Cao, Jaideep Srivastava (Eds.): Advances in Knowledge Discovery and Data Mining - 15th Pacific-Asia Conference, PAKDD 2011, Shenzhen, China, May 24-27, 2011, Proceedings, Part I. Lecture Notes in Computer Science 6634, Springer 2011, isbn 978-3-642-20840-9

Joshua Zhexue Huang, Longbing Cao, Jaideep Srivastava (Eds.): Advances in Knowledge Discovery and Data Mining - 15th Pacific-Asia Conference, PAKDD 2011, Shenzhen, China, May 24-27, 2011, Proceedings, Part II. Lecture Notes in Computer Science 6635, Springer 2011, isbn 978-3-642-20846-1

Liping Jing, Michael K. Ng, Joshua Zhexue Huang: Knowledge-based vector space model for text clustering. Knowl. Inf. Syst. 25(1): 35-55 (2010)

Zhiyong Zhong, Mark Junjie Li, Jin Chang, Le Zhou, Joshua Zhexue Huang, Shengzhong Feng: CPLDP: An Efficient Large Dataset Processing System Built on Cloud Platform. ADMA (2) 2010: 13-20

Jin Chang, Jun Luo, Joshua Zhexue Huang, Shengzhong Feng, Jianping Fan: Minimum Spanning Tree Based Classification Model for Massive Data with MapReduce Implementation. ICDM Workshops 2010: 129-137

Haohan Zhu, Jun Luo, Hang Yin, Xiaotao Zhou, Joshua Zhexue Huang, F. Benjamin Zhan: Mining Trajectory Corridors Using Fréchet Distance and Meshing Grids. PAKDD (1) 2010: 228-237

Qingyao Wu, Yunming Ye, Michael K. Ng, Hanjing Su, Joshua Zhexue Huang: Exploiting Word Cluster Information for Unsupervised Feature Selection. PRICAI 2010: 292-303

Liping Jing, Mark Junjie Li, Michael K. Ng, Yiu-ming Cheung, Joshua Zhexue Huang: SMART: a subspace clustering algorithm that automatically identifies the appropriate number of clusters. IJDMMM 1(2): 149-177 (2009)

Joshua Zhexue Huang: Clustering Categorical Data with k-Modes. Encyclopedia of Data Warehousing and Mining 2009: 246-250

Liping Jing, Michael K. Ng, Joshua Zhexue Huang: Soft Subspace Clustering for High-Dimensional Data. Encyclopedia of Data Warehousing and Mining 2009: 1810-1814

Yunming Ye, Hongbo Li, Xiaobai Deng, Joshua Zhexue Huang: Feature Weighting Random Forest for Detection of Hidden Web Search Interfaces. IJCLCLP 13(4) (2008)

Mark Junjie Li, Michael K. Ng, Yiu-ming Cheung, Joshua Zhexue Huang: Agglomerative Fuzzy K-Means Clustering Algorithm with Selection of Number of Clusters. IEEE Trans. Knowl. Data Eng. 20(11): 1519-1534 (2008)

Lei Cao, Minglu Li, Jian Cao, Joshua Zhexue Huang: CNP-based Implementation of Service-oriented Workflow Mapping in SHGWMS. World Wide Web 11(2): 199-226 (2008)

Yan Li, Edward Hung, Korris Chung, Joshua Zhexue Huang: Building a Decision Cluster Classification Model for High Dimensional Data by a Variable Weighting k-Means Method. Australasian Conference on Artificial Intelligence 2008: 337-347

Qiang Wang, Yunming Ye, Joshua Zhexue Huang: A Changing Window Approach to Exploring Gene Expression Patterns. BIBM 2008: 301-304

Qiang Wang, Yunming Ye, Joshua Zhexue Huang: Fuzzy K-Means with Variable Weighting in High Dimensional Data Analysis. WAIM 2008: 365-372

Yang Gao, Joshua Zhexue Huang, Lei Wu: Learning classifier system ensemble and compact rule set. Connect. Sci. 19(4): 321-337 (2007)

Cheqing Jin, Aoying Zhou, Jeffrey Xu Yu, Joshua Zhexue Huang, Feng Cao: Adaptive scheduling for shared window joins over data streams. Frontiers of Computer Science in China 1(4): 468-477 (2007)

Michael K. Ng, Mark Junjie Li, Joshua Zhexue Huang, Zengyou He: On the Impact of Dissimilarity Measure in k-Modes Clustering Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 29(3): 503-507 (2007)

Liping Jing, Michael K. Ng, Joshua Zhexue Huang: An Entropy Weighting k-Means Algorithm for Subspace Clustering of High-Dimensional Sparse Data. IEEE Trans. Knowl. Data Eng. 19(8): 1026-1041 (2007)

Joshua Zhexue Huang, Yunming Ye: PAKDD 2007 Industrial Track Workshop. PAKDD Workshops 2007: 1-2

Shu Wu, Qingshan Jiang, Joshua Zhexue Huang: A New Initialization Method for Clustering Categorical Data. PAKDD 2007: 972-980

Takashi Washio, Zhi-Hua Zhou, Joshua Zhexue Huang, Xiaohua Hu, Jinyan Li, Chao Xie, Jieyue He, Deqing Zou, Kuan-Ching Li, Mário M. Freire (Eds.): Emerging Technologies in Knowledge Discovery and Data Mining, PAKDD 2007, International Workshops, Nanjing, China, May 22-25, 2007, Revised Selected Papers. Lecture Notes in Computer Science 4819, Springer 2007, isbn 978-3-540-77016-9

Feilong Tang, Minglu Li, Joshua Zhexue Huang: Automatic Transaction Compensation for Reliable Grid Applications. J. Comput. Sci. Technol. 21(4): 529-536 (2006)

Xingjun Zhang, Joshua Zhexue Huang, Depei Qian, Jun Xu, Liping Jing: Supplier Categorization with K-Means Type Subspace Clustering. APWeb 2006: 226-237

Xingwen Wang, Joshua Zhexue Huang: A Case-Based Data Mining Platform. Selected Papers from AusDM 2006: 28-38

Yunming Ye, Yan Li, Xiaofei Xu, Joshua Zhexue Huang, Xiaojun Chen: MFCRank: A Web Ranking Algorithm Based on Correlation of Multiple Features. CICLing 2006: 378-388

Hongbing Wang, Yifei Wang, Joshua Zhexue Huang, Xun Xu: SLF4SS: Facilitating Flexible Services Selection. IAT Workshops 2006: 312-315

Michael K. Ng, Mark Junjie Li, Sio Iong Ao, Pak Chung Sham, Yiu-ming Cheung, Joshua Zhexue Huang: Clustering of SNP Data with Application to Genomics. ICDM Workshops 2006: 158-162

Yunming Ye, Joshua Zhexue Huang, Xiaojun Chen, Shuigeng Zhou, Graham J. Williams, Xiaofei Xu: Neighborhood Density Method for Selecting Initial Cluster Centers in K-Means Clustering. PAKDD 2006: 189-198

Zengyou He, Shengchun Deng, Xiaofei Xu, Joshua Zhexue Huang: A Fast Greedy Algorithm for Outlier Mining. PAKDD 2006: 567-576

Yang Gao, Lei Wu, Joshua Zhexue Huang: Ensemble Learning Classifier System and Compact Ruleset. SEAL 2006: 42-49

Zengyou He, Xiaofei Xu, Joshua Zhexue Huang, Shengchun Deng: FP-outlier: Frequent pattern based outlier detection. Comput. Sci. Inf. Syst. 2(1): 103-118 (2005)

Yang Gao, Hongqiang Rong, Joshua Zhexue Huang: Adaptive grid job scheduling with genetic algorithms. Future Generation Comp. Syst. 21(1): 151-161 (2005)

Joshua Zhexue Huang, Michael K. Ng, Hongqiang Rong, Zichen Li: Automated Variable Weighting in k-Means Type Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 27(5): 657-668 (2005)

Yang Gao, Joshua Zhexue Huang, Hongqiang Rong, Daqian Gu: Learning classifier system ensemble for data mining. GECCO Workshops 2005: 63-66

Joshua Zhexue Huang, Feilong Tang, Yunming Ye, George Huang, Minglu Li: Ontology-Based E-Catalog Matching for Integration of GDSN and EPCglobal Network. ICEBE 2005: 212-215

Yang Gao, Joshua Zhexue Huang, Hongqiang Rong, Daqian Gu: LCSE: Learning Classifier System Ensemble for Incremental Medical Instances. IWLCS 2005: 93-103

Shuigeng Zhou, Yue Zhao, Jihong Guan, Joshua Zhexue Huang: A Neighborhood-Based Clustering Algorithm. PAKDD 2005: 361-371

Liping Jing, Michael K. Ng, Jun Xu, Joshua Zhexue Huang: Subspace Clustering of Text Documents with Feature Weighting K-Means Algorithm. PAKDD 2005: 802-812

Liping Jing, Michael K. Ng, Jun Xu, Joshua Zhexue Huang: On the Performance of Feature Weighting K-Means for Text Subspace Clustering. WAIM 2005: 502-512

Zengyou He, Xiaofei Xu, Joshua Zhexue Huang, Shengchun Deng: Mining class outliers: concepts, algorithms and applications in CRM. Expert Syst. Appl. 27(4): 681-697 (2004)

Elaine Y. Chan, Wai-Ki Ching, Michael K. Ng, Joshua Zhexue Huang: An optimization algorithm for clustering using weighted dissimilarity measures. Pattern Recognition 37(5): 943-952 (2004)

Hongbing Wang, Joshua Zhexue Huang, Yuzhong Qu, Junyuan Xie: Web services: problems and future directions. J. Web Sem. 1(3): 309-320 (2004)

Yunming Ye, Fanyuan Ma, Yiming Lu, Matthew Chiu, Joshua Zhexue Huang: iSurfer: A Focused Web Crawler Based on Incremental Learning from Positive Samples. APWeb 2004: 122-134

Edmond HaoCun Wu, Michael K. Ng, Joshua Zhexue Huang: An Efficient Multidimensional Data Model for Web Usage Mining. APWeb 2004: 373-383

Yang Gao, Joshua Zhexue Huang, Hongqiang Rong, Zhi-Hua Zhou: Meta-game Equilibrium for Multi-agent Reinforcement Learning. Australian Conference on Artificial Intelligence 2004: 930-936

Edmond HaoCun Wu, Michael K. Ng, Joshua Zhexue Huang: On Improving Website Connectivity by Using Web-Log Data Streams. DASFAA 2004: 352-364

Lei Cao, Minglu Li, Henry Rong, Joshua Zhexue Huang: An Ontology-Based Model for Grid Resource Publication and Discovery. GCC 2004: 448-455

Xiaoling Wang, Kun Yue, Joshua Zhexue Huang, Aoying Zhou: Service Selection in Dynamic Demand-Driven Web Services. ICWS 2004: 376-383

Feilong Tang, Minglu Li, Joshua Zhexue Huang, Cho-Li Wang, Zongwei Luo: Petri-Net-Based Coordination Algorithms for Grid Transactions. ISPA 2004: 499-508

Liping Jing, Joshua Zhexue Huang, Michael K. Ng, Hongqiang Rong: A Feature Weighting Approach to Building Classification Models by Interactive Clustering. MDAI 2004: 284-294

Yunming Ye, Fanyuan Ma, Hongqiang Rong, Joshua Zhexue Huang: Enhanced Email Classification Based on Feature Space Enriching. NLDB 2004: 299-311

Feilong Tang, Minglu Li, Joshua Zhexue Huang, Lei Cao, Yi Wang: A Real-Time Transaction Approach for Grid Services: A Model and Algorithms. NPC 2004: 57-64

Qiming Huang, Qiang Yang, Joshua Zhexue Huang, Michael K. Ng: Mining of Web-Page Visiting Patterns with Continuous-Time Markov Models. PAKDD 2004: 549-558

Lei Cao, Minglu Li, Henry Rong, Joshua Zhexue Huang: A Categorized-Registry Model for Grid Resource Publication and Discovery Using Software Agents. PDCAT 2004: 318-321

Yunming Ye, Fanyuan Ma, Hongqiang Rong, Joshua Zhexue Huang: Improved Email Classification through Enriched Feature Space. WAIM 2004: 489-498

Cheqing Jin, Fang Xiong, Joshua Zhexue Huang, Jeffrey Xu Yu, Aoying Zhou: Mining Frequent Items in Spatio-temporal Databases. WAIM 2004: 549-558

Zengyou He, Joshua Zhexue Huang, Xiaofei Xu, Shengchun Deng: Mining Class Outliers: Concepts, Algorithms and Applications. WAIM 2004: 589-599

Zengyou He, Xiaofei Xu, Joshua Zhexue Huang, Shengchun Deng: A Frequent Pattern Discovery Method for Outlier Detection. WAIM 2004: 726-732

Zengyou He, Xiaofei Xu, Shengchun Deng, Joshua Zhexue Huang: Clustering Categorical Data Streams. CoRR abs/cs/0412058 (2004)

Zhexue Huang, Michael K. Ng: A Note on K-modes Clustering. J. Classification 20(2): 257-261 (2003)

Ruimin Shen, Peng Han, Fan Yang, Qiang Yang, Joshua Zhexue Huang: Data Mining and Case-Based Reasoning for Distance Learning. IJDET 1(3): 46-58 (2003)

Qiang Yang, Joshua Zhexue Huang, Michael K. Ng: A Data Cube Model for Prediction-Based Web Prefetching. J. Intell. Inf. Syst. 20(1): 1-30 (2003)

Jie Yang, Joshua Zhexue Huang, Ning Zhang, Zhuoqun Xu: C3: A New Learning Scheme to Improve Classification of Rare Category Emails. Australian Conference on Artificial Intelligence 2003: 747-758

Yang Gao, Hongqiang Rong, Frank Tong, Zongwei Luo, Joshua Zhexue Huang: Adaptive Job Scheduling for a Service Grid Using a Genetic Algorithm. GCC (2) 2003: 65-72

Jieyue He, Hongqiang Rong, Zongwei Luo, Joshua Zhexue Huang, Frank Tong: Uni-Grid P&T: A Toolkit for Building Customizable Grid Portals. ICWS-Europe 2003: 198-212

Ruimin Shen, Peng Han, Fan Yang, Qiang Yang, Joshua Zhexue Huang: An Open Framework for Smart and Personalized Distance Learning. ICWL 2002: 19-30

Michael K. Ng, Joshua Zhexue Huang: M-FastMap: A Modified FastMap Algorithm for Visual Cluster Validation in Data Mining. PAKDD 2002: 224-236

Zhexue Huang, Michael K. Ng, David Wai-Lok Cheung: An Empirical Study on the Visual Cluster Validation Method with Fastmap. DASFAA 2001: 84-91

Joshua Zhexue Huang, Michael K. Ng, Wai-Ki Ching, Joe Ng, David Wai-Lok Cheung: A Cube Model and Cluster Analysis for Web Access Sessions. WEBKDD 2001: 48-67

Jeffrey Xu Yu, Michael K. Ng, Joshua Zhexue Huang: Patterns Discovery Based on Time-Series Decomposition. PAKDD 2001: 336-347

Zhexue Huang, Michael K. Ng, Tao Lin, David Wai-Lok Cheung: An Interactive Approach to Building Classification Models by Clustering and Cluster Validation. IDEAL 2000: 23-28

Zhexue Huang, Tao Lin: A Visual Method of Cluster Validation with Fastmap. PAKDD 2000: 153-164

Hongxing He, Hari Koesmarno, Thach Van, Zhexue Huang: Data Mining in Disease Management - A Diabetes Case Study. PRICAI 2000: 799

Michael K. Ng, Zhexue Huang: Data-mining massive time series astronomical data: challenges, problems and solutions. Information & Software Technology 41(9): 545-556 (1999)

Zhexue Huang, Michael K. Ng: A fuzzy k-modes algorithm for clustering categorical data. IEEE T. Fuzzy Systems 7(4): 446-452 (1999)

Zhexue Huang: Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values. Data Min. Knowl. Discov. 2(3): 283-304 (1998)

Michael K. Ng, Zhexue Huang, Markus Hegland: Data-Mining Massive Time Series Astronomical Data Sets - A Case Study. PAKDD 1998: 401-402

Hongxing He, Zhexue Huang: Boosting Neural Networks in Real Worls Applications: An Empirical Study. Australian Joint Conference on Artificial Intelligence 1997: 321-329

Graham J. Williams, Zhexue Huang: Mining the Knowledge Mine: The Hot Spots Methodology for Mining Large Real World Databases. Australian Joint Conference on Artificial Intelligence 1997: 340-348

Zhexue Huang: A Fast Clustering Algorithm to Cluster Very Large Categorical Data Sets in Data Mining. DMKD 1997: 0-

Zhexue Huang, Per Svensson: Neighborhood Query and Analysis with GeoSAL, a Spatial Database Language. SSD 1993: 413-436

Zhexue Huang, Per Svensson, Hans Hauska: Solving Spatial Analysis Problems with GeoSAL, A Spatial Query Language. SSDBM 1992: 1-17

Per Svensson, Zhexue Huang: Geo-SAL: A Query Language for Spatial Data Analysis. SSD 1991: 119-140