Zhexue Huang
List of publications from the DBLP Bibliography Server - FAQ
2008 | ||
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71 | 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 | |
70 | Qiang Wang, Yunming Ye, Joshua Zhexue Huang: A Changing Window Approach to Exploring Gene Expression Patterns. BIBM 2008: 301-304 | |
69 | Qiang Wang, Yunming Ye, Joshua Zhexue Huang: Fuzzy K-Means with Variable Weighting in High Dimensional Data Analysis. WAIM 2008: 365-372 | |
68 | 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) | |
67 | 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) | |
2007 | ||
66 | Takashi Washio, Zhi-Hua Zhou, Joshua Zhexue Huang, Xiaohua Hu, Jinyan Li, Chao Xie, Jieyue He, Deqing Zou, Kuan-Ching Li, Mário M. Freire: Emerging Technologies in Knowledge Discovery and Data Mining, PAKDD 2007, International Workshops, Nanjing, China, May 22-25, 2007, Revised Selected Papers Springer 2007 | |
65 | Shu Wu, Qingshan Jiang, Joshua Zhexue Huang: A New Initialization Method for Clustering Categorical Data. PAKDD 2007: 972-980 | |
64 | Joshua Zhexue Huang, Yunming Ye: PAKDD 2007 Industrial Track Workshop. PAKDD Workshops 2007: 1-2 | |
63 | Yang Gao, Joshua Zhexue Huang, Lei Wu: Learning classifier system ensemble and compact rule set. Connect. Sci. 19(4): 321-337 (2007) | |
62 | 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) | |
61 | 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) | |
60 | 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) | |
2006 | ||
59 | Xingjun Zhang, Joshua Zhexue Huang, Depei Qian, Jun Xu, Liping Jing: Supplier Categorization with K-Means Type Subspace Clustering. APWeb 2006: 226-237 | |
58 | 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 | |
57 | Hongbing Wang, Yifei Wang, Joshua Zhexue Huang, Xun Xu: SLF4SS: Facilitating Flexible Services Selection. IAT Workshops 2006: 312-315 | |
56 | 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 | |
55 | 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 | |
54 | Zengyou He, Shengchun Deng, Xiaofei Xu, Joshua Zhexue Huang: A Fast Greedy Algorithm for Outlier Mining. PAKDD 2006: 567-576 | |
53 | Yang Gao, Lei Wu, Joshua Zhexue Huang: Ensemble Learning Classifier System and Compact Ruleset. SEAL 2006: 42-49 | |
52 | Xingwen Wang, Joshua Zhexue Huang: A Case-Based Data Mining Platform. Selected Papers from AusDM 2006: 28-38 | |
51 | Feilong Tang, Minglu Li, Joshua Zhexue Huang: Automatic Transaction Compensation for Reliable Grid Applications. J. Comput. Sci. Technol. 21(4): 529-536 (2006) | |
2005 | ||
50 | Yang Gao, Joshua Zhexue Huang, Hongqiang Rong, Daqian Gu: Learning classifier system ensemble for data mining. GECCO Workshops 2005: 63-66 | |
49 | 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 | |
48 | Yang Gao, Joshua Zhexue Huang, Hongqiang Rong, Daqian Gu: LCSE: Learning Classifier System Ensemble for Incremental Medical Instances. IWLCS 2005: 93-103 | |
47 | Shuigeng Zhou, Yue Zhao, Jihong Guan, Joshua Zhexue Huang: A Neighborhood-Based Clustering Algorithm. PAKDD 2005: 361-371 | |
46 | 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 | |
45 | 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 | |
44 | Yang Gao, Hongqiang Rong, Joshua Zhexue Huang: Adaptive grid job scheduling with genetic algorithms. Future Generation Comp. Syst. 21(1): 151-161 (2005) | |
43 | 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) | |
2004 | ||
42 | 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 | |
41 | Edmond HaoCun Wu, Michael K. Ng, Joshua Zhexue Huang: An Efficient Multidimensional Data Model for Web Usage Mining. APWeb 2004: 373-383 | |
40 | 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 | |
39 | Edmond HaoCun Wu, Michael K. Ng, Joshua Zhexue Huang: On Improving Website Connectivity by Using Web-Log Data Streams. DASFAA 2004: 352-364 | |
38 | Lei Cao, Minglu Li, Henry Rong, Joshua Zhexue Huang: An Ontology-Based Model for Grid Resource Publication and Discovery. GCC 2004: 448-455 | |
37 | Xiaoling Wang, Kun Yue, Joshua Zhexue Huang, Aoying Zhou: Service Selection in Dynamic Demand-Driven Web Services. ICWS 2004: 376-383 | |
36 | Feilong Tang, Minglu Li, Joshua Zhexue Huang, Cho-Li Wang, Zongwei Luo: Petri-Net-Based Coordination Algorithms for Grid Transactions. ISPA 2004: 499-508 | |
35 | 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 | |
34 | Yunming Ye, Fanyuan Ma, Hongqiang Rong, Joshua Zhexue Huang: Enhanced Email Classification Based on Feature Space Enriching. NLDB 2004: 299-311 | |
33 | 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 | |
32 | 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 | |
31 | 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 | |
30 | Yunming Ye, Fanyuan Ma, Hongqiang Rong, Joshua Zhexue Huang: Improved Email Classification through Enriched Feature Space. WAIM 2004: 489-498 | |
29 | Cheqing Jin, Fang Xiong, Joshua Zhexue Huang, Jeffrey Xu Yu, Aoying Zhou: Mining Frequent Items in Spatio-temporal Databases. WAIM 2004: 549-558 | |
28 | Zengyou He, Joshua Zhexue Huang, Xiaofei Xu, Shengchun Deng: Mining Class Outliers: Concepts, Algorithms and Applications. WAIM 2004: 589-599 | |
27 | Zengyou He, Xiaofei Xu, Joshua Zhexue Huang, Shengchun Deng: A Frequent Pattern Discovery Method for Outlier Detection. WAIM 2004: 726-732 | |
26 | Zengyou He, Xiaofei Xu, Shengchun Deng, Joshua Zhexue Huang: Clustering Categorical Data Streams CoRR abs/cs/0412058: (2004) | |
25 | 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) | |
24 | Hongbing Wang, Joshua Zhexue Huang, Yuzhong Qu, Junyuan Xie: Web services: problems and future directions. J. Web Sem. 1(3): 309-320 (2004) | |
23 | 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) | |
2003 | ||
22 | 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 | |
21 | 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 | |
20 | 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 | |
19 | Zhexue Huang, Michael K. Ng: A Note on K-modes Clustering. J. Classification 20(2): 257-261 (2003) | |
18 | 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) | |
2002 | ||
17 | Ruimin Shen, Peng Han, Fan Yang, Qiang Yang, Joshua Zhexue Huang: An Open Framework for Smart and Personalized Distance Learning. ICWL 2002: 19-30 | |
16 | Michael K. Ng, Joshua Zhexue Huang: M-FastMap: A Modified FastMap Algorithm for Visual Cluster Validation in Data Mining. PAKDD 2002: 224-236 | |
2001 | ||
15 | Zhexue Huang, Michael K. Ng, David Wai-Lok Cheung: An Empirical Study on the Visual Cluster Validation Method with Fastmap. DASFAA 2001: 84-91 | |
14 | Jeffrey Xu Yu, Michael K. Ng, Joshua Zhexue Huang: Patterns Discovery Based on Time-Series Decomposition. PAKDD 2001: 336-347 | |
13 | 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 | |
2000 | ||
12 | 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 | |
11 | Zhexue Huang, Tao Lin: A Visual Method of Cluster Validation with Fastmap. PAKDD 2000: 153-164 | |
10 | Hongxing He, Hari Koesmarno, Thach Van, Zhexue Huang: Data Mining in Disease Management - A Diabetes Case Study. PRICAI 2000: 799 | |
1999 | ||
9 | Michael K. Ng, Zhexue Huang: Data-mining massive time series astronomical data: challenges, problems and solutions. Information & Software Technology 41(9): 545-556 (1999) | |
1998 | ||
8 | Michael K. Ng, Zhexue Huang, Markus Hegland: Data-Mining Massive Time Series Astronomical Data Sets - A Case Study. PAKDD 1998: 401-402 | |
7 | 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) | |
1997 | ||
6 | Hongxing He, Zhexue Huang: Boosting Neural Networks in Real Worls Applications: An Empirical Study. Australian Joint Conference on Artificial Intelligence 1997: 321-329 | |
5 | 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 | |
4 | Zhexue Huang: A Fast Clustering Algorithm to Cluster Very Large Categorical Data Sets in Data Mining. DMKD 1997: 0- | |
1993 | ||
3 | Zhexue Huang, Per Svensson: Neighborhood Query and Analysis with GeoSAL, a Spatial Database Language. SSD 1993: 413-436 | |
1992 | ||
2 | Zhexue Huang, Per Svensson, Hans Hauska: Solving Spatial Analysis Problems with GeoSAL, A Spatial Query Language. SSDBM 1992: 1-17 | |
1991 | ||
1 | Per Svensson, Zhexue Huang: Geo-SAL: A Query Language for Spatial Data Analysis. SSD 1991: 119-140 |