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Last Modified: 12/23/2007

Publications

Books
  1. Shashi Shekhar, Hui Xiong (Editor-in-Chiefs), Encyclopedia of GIS (The book web site maintained by Springer). (Brochure). ISBN-10: 0387359753, ISBN-13: 978-0387359755, Springer; 1 edition, January, 2008.
  1. Hui Xiong, Hyperclique pattern discovery: Algorithms and applications, ISBN: 0-5422-6663-6, ProQuest Information and Learning, 2006.
  1. Weili Wu, Hui Xiong, Shashi Shekhar (Eds.), Clustering and Information Retrieval , ISBN: 1-4020-7682-7, Kluwer Academic Publishers, 2003.

Journal Papers - TKDE (4), JOC (1), VLDBJ (1), DMKD (1)

  1. Hui Xiong, Wenjun Zhou, Mark Brodie, Sheng Ma, TOP-K φ Correlation Computation, INFORMS Journal on Computing (JOC), to appear,  2008.

  2. Hui Xiong, Michael Steinbach, Arifin Ruslim, Vipin Kumar Characterizing Pattern Preserving Clustering, the Knowledge and Information Systems (KAIS) journal., to appear,  2008.

  3. Tianming Hu, Sam Y. Sung, Hui Xiong, Qian Fu, Discovery of Maximum Length Frequent Itemsets, Information Sciences, Vol. 178, Issue 1, pp. 69 - 87, January  2008.

  4. Tianming Hu, Chew Lim Tan, Yong Tang, Sam Yuan Sung, Hui Xiong, Chao Qu, Coclustering Bipartite with Pattern Preservation for Topic Extraction, Interntional Journal on Artificial Intelligence Tools (IJAIT), 17(1), pp. 87-107,  2008.

  5. Tieyun Qian, Hui Xiong, Yuanzhen Wang, Enhong Chen, On the Strength of Hyperclique Patterns for Text Categorization, Information Sciences,  Vol. 177, Issue 19, pp. 4040-4058, 2007.

  6. Yaochun Huang, Hui Xiong, Weili Wu, Ping Deng, Zhongnan Zhang, Mining Maximal Hyperclique Pattern: A Hybrid Search Strategy, Information Sciences, Vol. 177, Issue 3, pp. 703 - 721,  February, 2007.

  7. Hui Xiong, Michael Steinbach, and Vipin Kumar, Privacy Leakage in Multi-relational Databases: A Semi-supervised Learning Perspective, VLDB Journal Special Issue on Privacy Preserving Data Management , Vol. 15, No. 4, pp. 388-402, November, 2006.

  8. Hui Xiong, Shashi Shekhar, Pang-Ning Tan, and Vipin Kumar, TAPER: A Two-Step Approach for All-strong-pairs Correlation Query in Large Databases, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 18, No. 4, pp. 493-508, April 2006.

  9. Chris Ding, Xiaofeng He, Hui Xiong, H. Peng, and Steve, R. Holbrook Transitive closure and metric inequality of weighted graphs: detecting protein interaction modules using cliques, International Journal  Data Mining and Bioinformatics, Vol. 1, No. 2, pp. 162 - 177, 2006.

  10. Hui Xiong, Pang-Ning Tan, and Vipin Kumar, Hyperclique Pattern Discovery, Data Mining and Knowledge Discovery Journal, Vol. 13, No. 2,   pp. 219-242, September, 2006.

  11. Hui Xiong, Gaurav Pandey, Michael Steinbach, Vipin Kumar, Enhancing Data Analysis with Noise Removal, IEEE Transactions on Knowledge and Data Engineering (TKDE),  Vol. 18, No. 3, pp. 304-319, March 2006

  12. Yao Liu, Sam Y. Sung, Hui Xiong, A Cubic-Wise Balance Approach for Privacy Preservation in Data Cubes, Information Sciences, Vol. 176, Issue 9, pp. 1215-1240,  May 2006.

  13. Yan Huang, Jian Pei, and Hui Xiong, Mining Co-location Patterns in Spatial Data Sets with Rare Events, the GeoInformatica, An International  Journal on Advances of Computer Science for Geographic Information Systems, Vol. 10, Issue 3, pp. 239 - 260, September, 2006. 

  14. Sam Y. Sung, Yao Liu, Hui Xiong, Peter Ng, Privacy Preservation for Data Cubes, Knowledge and Information Systems - An International Journal (KAIS), Vol. 9, No 1, pp. 38 - 61,  January 2006.

  15. Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, Vipin  Kumar, IDR/QR: An Incremental Dimension Reduction Algorithm via QR Decomposition, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 17, No. 9,  pp. 1208-1222, September 2005.

  16. Yan Huang, Shashi Shekhar, and Hui Xiong (Corresponding Author), Discovering Co-location Patterns from Spatial Datasets: A General Approach,  IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 16, No. 12,  pp. 1472-1485, December 2004.

Conference Papers - KDD (10), ICDM (4), SDM (4), CCS (1), PSB (1), ACMGIS (1)

  1. Wenjun Zhou, Hui Xiong Volatile Correlation Computating: A Checkpoint View,  the 14th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining (KDD 2008), to appear.

  2. Junjie Wu, Hui Xiong, Jian Chen SAIL: Summation-based Incremental Learning for Information-Theoretic Clustering,  the 14th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining (KDD 2008), to appear.

  3. Tianming Hu, Hui Xiong, Wenjun  Zhou, Sam Yuan  Sung, Hangzai  Luo, Hypergraph Partitioning for Document Clustering: A Unified Clique Perspective, In the  31st Annual International ACM SIGIR Conference (SIGIR 2008), to appear.

  4. Xiaojun  Quan, Enhong Chen, Qiming Luo, Hui Xiong, Adaptive Label-Driven Scaling for Latent Semantic Indexing, In the  31st Annual International ACM SIGIR Conference (SIGIR 2008), to appear.

  5. Yi Hong, Sam Kwong, Hui Xiong, Qingsheng Ren, Genetic-Guided Semi-Supervised Clustering Algorithm with Instance-Level Constraints, in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2008), 2008, to appear.

  6. Yi Hong, Sam Kwong, Hui Xiong, Qingsheng Ren, Data clustering Using Virtual Population based Incremental Learning Algorithm with Similarity Matrix Encoding Strategy,  in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2008), 2008, to appear.

  7. Tianming Hu, Hui Xiong, Xueqing Gong, and Sam Yuan Sung, ANEMI: An Adaptive Neighborhood Expectation-Maximization Algorithm with Spatial Augmented Initialization, in Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2008), to appear, 2008.

  8. Junjie Wu, Hui Xiong,  Jian Chen, Wenjun Zhou, A Generalization of Proximity Functions for K-means, the 2007 IEEE International Conference on Data Mining (ICDM 2007), pp. 361 - 370, 2007.

  9. Yinglung Liang, Yanyong Zhang, Hui Xiong, Ramendra Sahoo, Failure Prediction in IBM BlueGene/L Event Logs, the 2007 IEEE International Conference on Data Mining (ICDM 2007), pp. 583 - 588,  2007.

  10. Baik Hoh, Marco Gruteser, Hui Xiong, Ansaf Alrabady, Preserving Privacy in GPS Traces via Uncertainty-Aware Path Cloaking, the 14th ACM Conference on Computer and Communication Security (ACM CCS 2007), pp. 161 - 171, 2007.

  11. Ping Luo, Hui Xiong, Kevin Lu, Zhongzhi Shi, Distributed Classification in Peer-to-Peer Networks,  the 13th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining (KDD 2007), pp. 968 - 976, 2007.

  12. Junjie Wu, Hui Xiong, Wu Peng, Jian Chen, Local Decomposition for Rare Class Analysis,  the 13th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining (KDD 2007), pp. 814 - 823, 2007.

  13. Wei Tang, Hui Xiong, Shi Zhong, Jie Wu, Enhancing Semi-Supervised Clustering: A Feature Projection Perspective, the 13th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining (KDD 2007), pp. 707 - 716, 2007.

  14. Byron Gao, Martin Ester, Jinyi Cai, Oliver Schulte, and Hui Xiong, the Minimum Consistent Subset Cover Problem and its Applications in Data Mining, the 13th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining (KDD 2007), pp. 310 - 319,  2007.

  15. Tianming Hu, Hui Xiong, Sam Y. Sung, Co-Preserving Patterns in Bipartite Partitioning for Topic Identification, in Proceedings of the Seventh SIAM International Conference on Data Mining (SDM 2007), pp. 509 - 514, 2007.

  16. Michael Steinbach, Pang-Ning Tan, Hui Xiong, and Vipin Kumar, Objective Measures for Association Pattern Analysis, Proceedings of the Joint Summer Research Conference on Machine and Statistical Learning: Prediction and Discovery, AMS Contemporary Mathematics (CONM) book series, to appear, 2007.

  17. Dihua Guo, Hui Xiong, Vijay Atluri, Nabil Adam, Semantic Feature Selection for Object Discovery in High-Resolution Remote Sensing Imagery, in Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2007), pp. 71 - 83, 2007.

  18. Hui Xiong, Mark Brodie, Sheng Ma, TOP-COP: Mining TOP-K Strongly Correlated Pairs in Large Databases, the 2006 IEEE International Conference on Data Mining (ICDM 2006), pp. 1162-1166, 2006.

  19. Hui Xiong, Junjie Wu, Jian Chen, K-means Clustering versus Validation Measures: A Data Distribution Perspective, the 12th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining (KDD 2006), pp. 779-784, 2006.

  20. Aabhas Paliwal, Nabil Adam, and Hui Xiong, Web Service Discovery via Semantic Association Ranking and Hyperclique Pattern Discovery, the 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006), pp. 649-652, 2006.

  21. Xiaobin Ma, Shashi Shekhar, Hui Xiong, Pusheng Zhang, Exploiting Page-Level Upper Bound for Multi-Type Nearest Neighbor Queries, ACM-GIS 2006 International Symposium on Advances in Geographic Information Systems (ACM GIS 2006), pp. 179-186, 2006.

  22. Tieyun Qian, Hui Xiong, Yuanzhen Wang, Enhong Chen, Adapting Association Patterns for Text Categorization: Weakness and enhancements,  ACM Conference on information and Knowledge Management (ACM CIKM 2006), pp. 782-783, 2006.

  23. Yaochun Huang, Hui Xiong, Weili Wu, Sam, Y. Sung, Mining Quantitative Maximal Hyperclique Patterns: A Summary of Results, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2006), pp. 552-556, 2006.

  24. Gyorgy Simon, Hui Xiong, Eric Eilertson, and Vipin Kumar, Scan Detection: A Data Mining Approach, SIAM International Conf. on Data Mining (SDM 2006),  pp. 118 - 129, (Acceptance rate = 16%),   2006

  25. Hui Xiong, Michael Steinbach, and Vipin Kumar, Privacy Leakage in Multi-relational Databases via Pattern based Semi-supervised Learning, in Proc. of the ACM Conference on information and Knowledge Management (ACM CIKM 2005), pp. 355-356, Bremen, Germany, 2005.

  26. Hui Xiong, X. He, Chris Ding, Ya Zhang, Vipin Kumar, Stephen R. Holbrook, Identification of Functional Modules in Protein Complexes via Hyperclique Pattern Discovery, in Proc. of the Pacific Symposium on Biocomputing, (PSB 2005),  pp. 221-232, 2005.

  27. Yaochun Huang, Hui Xiong, Weili Wu, and Zhongnan Zhang, A Hybrid Approach for Mining Maximal Hyperclique Patterns, in Proc. of the 16th IEEE Int'l Conf. on Tools with Artificial Intelligence (ICTAI), pp. 354-361,2004.

  28. Michael Steinbach, Pang-Ning Tan, Hui Xiong, Vipin Kumar, Extending the Notion of Support, in Proc. of the Tenth ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining (KDD 2004), pp. 689 - 694, Seattle, USA, 2004. 

  29. Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, Vipin Kumar. IDR/QR: An Incremental Dimension Reduction Algorithm via QR Decomposition, in Proc. of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2004), pp. 364 - 373, Seattle, USA, 2004 (Acceptance rate = 40/337=12%). 

  30. Hui Xiong, Shashi Shekhar, Pang-Ning Tan, and Vipin Kumar, Exploiting a Support-based Upper Bound of Pearson's Correlation Coefficient for Efficiently Identifying Strongly Correlated Pairs, , in Proc. of the Tenth ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining (KDD 2004), pp. 334 - 343, Seattle, USA, 2004. (Acceptance Rate=40/337=12%).

  31. Hui Xiong, Michael Steinbach, Pang-Ning Tan, and Vipin Kumar, HICAP: Hierarchical Clustering with Pattern Preservation, in Proc. 2004 SIAM International Conf. on Data Mining (SDM 2004), pp. 279 - 290, Florida, USA, 2004. 

  32. Hui Xiong, Shashi Shekhar, Yan Huang, Vipin Kumar, X. Ma, J. Yoo, A Framework for Discovering Co-location Patterns in Data Sets with Extended Spatial Objects, in Proc. 2004 SIAM Int'l Conf. on Data Mining (SDM 2004), pp. 78 - 89, Florida, USA, 2004. 

  33. Yao Liu, Sam Y. Sung, Hui Xiong, Peter Ng, Data Declustering with Replication, in Proc. of  the 9th International Conference on Database Systems for Advanced Applications (DASFAA 2004), pp. 682 - 693, Korea, 2004. 

  34. Hui Xiong, Pang-Ning Tan, and Vipin Kumar, Mining Strong Affinity Association Patterns in Data Sets with Skewed Support Distribution, In Proc. of the Third IEEE International Conference on Data Mining (ICDM 2003), pp. 387-394, Melbourne, Florida, USA, 2003. (Acceptance Rate = 58/501 = 12%). (Also in Technical Report TR-03-006 Mining Hyperclique Patterns with Confidence Pruning, January 2003)

  35. Jinmei Xu, Hui Xiong, Sam Y. Sung, and Vipin Kumar, A New Clustering  Algorithm for Transaction Data Via Caucus,  in Proc. 2003 Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2003), pp. 551-562, Korea 2003.

  36. Yan Huang, Hui Xiong, Shashi Shekhar, and Jian Pei, Mining Confident Co-location Rules without A Support Threshold,  in Proc. 2003 ACM Symposium on Applied Computing (ACM SAC 2003), pp. 497-501, Melbourne, FL, March 2003.

Magazine Articles

  1. Baik Hoh, Marco Gruteser, Hui Xiong, Ansaf Alrabady, Enhancing Security and Privacy in Traffic-Monitoring Systems, IEEE Pervasive Computing, vol. 5,  no. 4,  pp. 38-46,  Oct-Dec,  2006.

Workshop Papers

  1. Yinglung Liang, Yanyong Zhang, Hui Xiong, and Ramendra K. Sahoo. An adaptive semantic filter for blue gene/l failure log analysis. In Proceedings of the Workshop on System Management Techniques, Processes and Services (SMTPS) in conjunction with the Twenty-first International Parallel and Distributed Processing Symposium (IPDPS 2007), pages 1 - 8, Long Beach, California, USA, March 26-30, 2007. IEEE.

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