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Note: Links lead to the DBLP on the Web. Ke Wang Huiqiang Wang , Gaofei Wang , Ying Lan , Ke Wang, Daxin Liu : A New Automatic Intrusion Response Taxonomy and Its Application. APWeb Workshops 2006 : 999-1003 Ke Wang, Yuelong Jiang , Alexander Tuzhilin : Mining Actionable Patterns by Role Models. ICDE 2006 : 16 Benjamin C. M. Fung , Ke Wang, Philip S. Yu : Top-Down Specialization for Information and Privacy Preservation. ICDE 2005 : 205-216 Ke Wang, Benjamin C. M. Fung , Philip S. Yu : Template-Based Privacy Preservation in Classification Problems. ICDM 2005 : 466-473 Ada Wai-Chee Fu , Raymond Chi-Wing Wong , Ke Wang: Privacy-Preserving Frequent Pattern Mining across Private Databases. ICDM 2005 : 613-616 Yuelong Jiang , Ke Wang, Alexander Tuzhilin , Ada Wai-Chee Fu : Mining Patterns That Respond to Actions. ICDM 2005 : 669-672 Jian Pei , Jian Liu , Haixun Wang , Ke Wang, Philip S. Yu , Jianyong Wang : Efficiently Mining Frequent Closed Partial Orders. ICDM 2005 : 753-756 Ke Wang, Benjamin C. M. Fung , Guozhu Dong : Integrating Private Databases for Data Analysis. ISI 2005 : 171-182 Salvatore J. Stolfo , Shlomo Hershkop , Linh H. Bui , Ryan Ferster , Ke Wang: Anomaly Detection in Computer Security and an Application to File System Accesses. ISMIS 2005 : 14-28 Ke Wang, Gabriela Cretu , Salvatore J. Stolfo : Anomalous Payload-Based Worm Detection and Signature Generation. RAID 2005 : 227-246 Michael E. Locasto , Ke Wang, Angelos D. Keromytis , Salvatore J. Stolfo : FLIPS: Hybrid Adaptive Intrusion Prevention. RAID 2005 : 82-101 Ke Wang, Yabo Xu , Philip S. Yu , Rong She : Building Decision Trees on Records Linked through Key References. SDM 2005 Rong She , Ke Wang, Yabo Xu , Philip S. Yu : Pushing Feature Selection Ahead Of Join. SDM 2005 Ke Wang, Senqiang Zhou , Qiang Yang , Jack Man Shun Yeung : Mining Customer Value: From Association Rules to Direct Marketing. Data Min. Knowl. Discov. 11 (1): 57-79 (2005) Raymond Chi-Wing Wong , Ada Wai-Chee Fu , Ke Wang: Data Mining for Inventory Item Selection with Cross-Selling Considerations. Data Min. Knowl. Discov. 11 (1): 81-112 (2005) Senqiang Zhou , Ke Wang: Localization Site Prediction for Membrane Proteins by Integrating Rule and SVM Classification. IEEE Trans. Knowl. Data Eng. 17 (12): 1694-1705 (2005) Ke Wang, Yuelong Jiang , Jeffrey Xu Yu , Guozhu Dong , Jiawei Han : Divide-and-Approximate: A Novel Constraint Push Strategy for Iceberg Cube Mining. IEEE Trans. Knowl. Data Eng. 17 (3): 354-368 (2005) Ke Wang, Yabo Xu , Jeffrey Xu Yu : Scalable sequential pattern mining for biological sequences. CIKM 2004 : 178-187 Rui Kuang , Eugene Ie , Ke Wang, Kai Wang , Mahira Siddiqi , Yoav Freund , Christina S. Leslie : Profile-Based String Kernels for Remote Homology Detection and Motif Extraction. CSB 2004 : 152-160 Ke Wang, Philip S. Yu , Sourav Chakraborty : Bottom-Up Generalization: A Data Mining Solution to Privacy Protection. ICDM 2004 : 249-256 Li-bao Zhang , Ke Wang: Efficient Lossy to Lossless Medical Image Compression Using Integer Wavelet Transform and Multiple Subband Decomposition. MIAR 2004 : 86-93 Li-bao Zhang , Ke Wang: New Regions of Interest Image Coding Using Up-Down Bitplanes Shift for Network Applications. NPC 2004 : 513-516 Ke Wang, Salvatore J. Stolfo : Anomalous Payload-Based Network Intrusion Detection. RAID 2004 : 203-222 Qiang Yang , Ian Tian Yi Li , Ke Wang: Building Association-Rule Based Sequential Classifiers for Web-Document Prediction. Data Min. Knowl. Discov. 8 (3): 253-273 (2004) Guozhu Dong , Jiawei Han , Joyce M. W. Lam , Jian Pei , Ke Wang, Wei Zou : Mining Constrained Gradients in Large Databases. IEEE Trans. Knowl. Data Eng. 16 (8): 922-938 (2004) Ke Wang, Yuelong Jiang , Jeffrey Xu Yu , Guozhu Dong , Jiawei Han : Pushing Aggregate Constraints by Divide-and-Approximate. ICDE 2003 : 291-302 Ke Wang, Senqiang Zhou , Jack Man Shun Yeung , Qiang Yang : Mining Customer Value: From Association Rules to Direct Marketing. ICDE 2003 : 738-740 Raymond Chi-Wing Wong , Ada Wai-Chee Fu , Ke Wang: MPIS: Maximal-Profit Item Selection with Cross-Selling Considerations. ICDM 2003 : 371-378 Salvatore J. Stolfo , Shlomo Hershkop , Ke Wang, Olivier Nimeskern , Chia-Wei Hu : Behavior Profiling of Email. ISI 2003 : 74-90 Ke Wang, Yuelong Jiang , Laks V. S. Lakshmanan : Mining unexpected rules by pushing user dynamics. KDD 2003 : 246-255 Rong She , Fei Chen , Ke Wang, Martin Ester , Jennifer L. Gardy , Fiona S. L. Brinkman : Frequent-subsequence-based prediction of outer membrane proteins. KDD 2003 : 436-445 Salvatore J. Stolfo , Shlomo Hershkop , Ke Wang, Olivier Nimeskern , Chia-Wei Hu : A Behavior-Based Approach to Securing Email Systems. MMM-ACNS 2003 : 57-81 Benjamin C. M. Fung , Ke Wang, Martin Ester : Hierarchical Document Clustering using Frequent Itemsets. SDM 2003 Ke Wang, Senqiang Zhou , Ada Wai-Chee Fu , Jeffrey Xu Yu : Mining Changes of Classification by Correspondence Tracing. SDM 2003 Chang-Jian Zhao , Lokenath Debnath , Ke Wang: Positive periodic solutions of a delayed model in population. Appl. Math. Lett. 16 (4): 561-565 (2003) Qiang Yang , Tianyiian Li , Ke Wang: Web-Log Cleaning for Constructing Sequential Classifiers. Applied Artificial Intelligence 17 (5-6): 431-441 (2003) Ke Wang, Yu He , Jiawei Han : Pushing Support Constraints Into Association Rules Mining. IEEE Trans. Knowl. Data Eng. 15 (3): 642-658 (2003) Jennifer L. Gardy , Cory Spencer , Ke Wang, Martin Ester , Gábor E. Tusnády , István Simon , Sujun Hua , Katalin de Fays , Christophe G. Lambert , Kenta Nakai , Fiona S. L. Brinkman : PSORT-B: improving protein subcellular localization prediction for Gram-negative bacteria. Nucleic Acids Research 31 (13): 3613-3617 (2003) Ke Wang, Senqiang Zhou , Jiawei Han : Profit Mining: From Patterns to Actions. EDBT 2002 : 70-87 Eric Ka Ka Ng , Ada Wai-Chee Fu , Ke Wang: Mining Association Rules from Stars. ICDM 2002 : 322-329 Junqiang Liu , Yunhe Pan , Ke Wang, Jiawei Han : Mining frequent item sets by opportunistic projection. KDD 2002 : 229-238 Ke Wang, Ming-Yen Thomas Su : Item selection by "hub-authority" profit ranking. KDD 2002 : 652-657 Ke Wang, Liu Tang , Jiawei Han , Junqiang Liu : Top Down FP-Growth for Association Rule Mining. PAKDD 2002 : 334-340 Emin Gün Sirer , Ke Wang: An access control language for web services. SACMAT 2002 : 23-30 Gao Cong , Lan Yi , Bing Liu , Ke Wang: Discovering Frequent Substructures from Hierarchical Semi-structured Data. SDM 2002 Jiawei Han , Jianyong Wang , Guozhu Dong , Jian Pei , Ke Wang: CubeExplorer: online exploration of data cubes. SIGMOD Conference 2002 : 626 Helen Pinto , Jiawei Han , Jian Pei , Ke Wang, Qiming Chen , Umeshwar Dayal : Multi-Dimensional Sequential Pattern Mining. CIKM 2001 : 81-88 Ke Wang, Yu He , David Wai-Lok Cheung , Francis Y. L. Chin : Mining Confident Rules Without Support Requirement. CIKM 2001 : 89-96 Sonny Han Seng Chee , Jiawei Han , Ke Wang: RecTree: An Efficient Collaborative Filtering Method. DaWaK 2001 : 141-151 Ke Wang, Yu He : User-Defined Association Mining. PAKDD 2001 : 387-399 Jiawei Han , Jian Pei , Guozhu Dong , Ke Wang: Efficient Computation of Iceberg Cubes with Complex Measures. SIGMOD Conference 2001 : 1-12 Guozhu Dong , Jiawei Han , Joyce M. W. Lam , Jian Pei , Ke Wang: Mining Multi-Dimensional Constrained Gradients in Data Cubes. VLDB 2001 : 321-330 Ian Tian Yi Li , Qiang Yang , Ke Wang: Classification Pruning for Web-request Prediction. WWW Posters 2001 Ke Wang, Senqiang Zhou , Yu He : Growing decision trees on support-less association rules. KDD 2000 : 265-269 Ke Wang, Yu He , Jiawei Han : Mining Frequent Itemsets Using Support Constraints. VLDB 2000 : 43-52 Weining Zhang , Ke Wang: An Efficient Evaluation of a Fuzzy Equi-Join Using Fuzzy Equality Indicators. IEEE Trans. Knowl. Data Eng. 12 (2): 225-237 (2000) Ke Wang, Huiqing Liu : Discovering Structural Association of Semistructured Data. IEEE Trans. Knowl. Data Eng. 12 (2): 353-371 (2000) Ke Wang, Chu Xu , Bing Liu : Clustering Transactions Using Large Items. CIKM 1999 : 483-490 Ke Wang, Beng Chin Ooi , Sam Yuan Sung : P-Tree: A B-Tree Index for Lists. DASFAA 1999 : 221-228 Bing Liu , Wynne Hsu , Ke Wang, Shu Chen : Visually Aided Exploration of Interesting Association Rules. PAKDD 1999 : 380-389 Ke Wang, Senqiang Zhou , Shiang Chen Liew : Building Hierarchical Classifiers Using Class Proximity. VLDB 1999 : 363-374 Ke Wang, Soon Hock William Tay , Bing Liu : Interestingness-Based Interval Merger for Numeric Association Rules. KDD 1998 : 121-128 Bing Liu , Ke Wang, Lai-Fun Mun , Xin-Zhi Qi : Using Decision Tree Induction for Discovering Holes in Data. PRICAI 1998 : 182-193 Ke Wang, Bing Liu : Concurrent Discretization of Multiple Attributes. PRICAI 1998 : 250-259 Ke Wang, Huiqing Liu : Discovering Typical Structures of Documents: A Road Map Approach. SIGIR 1998 : 146-154 Wang Chiew Tan , Ke Wang, Limsoon Wong : A Graphical Interface to Genome Multidatabases. J. Database Manag. 9 (1): 24-32 (1998) Ke Wang: Mining Association Patterns from Nested Databases. DMKD 1997 : 0- Ke Wang, Han Chong Goh : Minimum Splits Based Discretization for Continuous Features. IJCAI (2) 1997 : 942-951 Ke Wang, Huiqing Liu : Schema Discovery for Semistructured Data. KDD 1997 : 271-274 Ke Wang, Suman Sundaresh : Selecting Features by Vertical Compactness of Data. KDD 1997 : 275-278 Ke Wang, Weining Zhang , Siu-Cheung Chau : Weakly Independent Database Schemes. Acta Inf. 34 (1): 1-22 (1997) Ke Wang: Discovering Patterns from Large and Dynamic Sequential Data. J. Intell. Inf. Syst. 9 (1): 33-56 (1997) Wang Chiew Tan , Ke Wang, Limsoon Wong : QUICK: Graphical User Interface to Multiple Databases. DEXA Workshop 1996 : 404-409 Ke Wang: Some Positive Results for Boundedness of Multiple Recursive Rules. ICDT 1995 : 383-396 Weining Zhang , Ke Wang, Siu-Cheung Chau : Data Partition and Parallel Evaluation of Datalog Programs. IEEE Trans. Knowl. Data Eng. 7 (1): 163-176 (1995) Ke Wang, Weining Zhang , Siu-Cheung Chau : Decomposition of Magic Rewriting. J. ACM 42 (2): 329-381 (1995) Ke Wang, Li-Yan Yuan : First-Order Logic Characterization of Program Properties. IEEE Trans. Knowl. Data Eng. 6 (4): 518-533 (1994) Ke Wang, Weining Zhang , Siu-Cheung Chau : Minimize Linear Mutual Recursion by Rule Unfolding. ICCI 1993 : 98-102 Héctor J. Hernández , Ke Wang: On the Boundedness of Constant-Time-Maintainable Database Schemes. SIAM J. Comput. 22 (1): 29-45 (1993) Ke Wang, Li-Yan Yuan : Enforce Constraints in Archival Databases. ICCI 1992 : 397-400 Ke Wang, Marc H. Graham : Constant-Time Maintainability: A Generalization of Independence. ACM Trans. Database Syst. 17 (2): 201-246 (1992) Ke Wang, Li-Yan Yuan : Preservation of Integrity Constraints in Definite DATALOG Programs. Inf. Process. Lett. 44 (4): 185-193 (1992) Ke Wang: On Characterizing Boundedness of Database Schemes with Bounded Dependencies. Theor. Comput. Sci. 100 (2): 347-364 (1992) Ke Wang, Li-Yan Yuan : Incremental Database Design Revisited. ICCI 1991 : 219-230 Ke Wang, Li-Yan Yuan : First-Order Logic Reducible Programs. ICDE 1991 : 746-755 Weining Zhang , Ke Wang, Siu-Cheung Chau : Data partition: A Practical Parallel Evaluation of Datalog Programs. PDIS 1991 : 98-105 Ke Wang: Polynomial Time Designs toward Both BCNF and Efficient Data Manipulation. SIGMOD Conference 1990 : 74-83 Marc H. Graham , Ke Wang: On the Equivalence of an Egd to a Set of Fd's J. ACM 37 (3): 474-490 (1990) Ke Wang: Can Constant-time Maintainability Be More Practical? PODS 1989 : 120-127 Marc H. Graham , Ke Wang: Constant Time Maintenance or The Triumph of the fd. PODS 1986 : 202-216 In-Shek Hsu , Irving S. Reed , Trieu-Kien Truong , Ke Wang, Chiunn-Shyong Ye , Leslie J. Deutsch : The VLSI Implementation of a Reed-Solomon Encoder Using Berlekamp's Bit-Serial Multiplier Algorithm. IEEE Trans. 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