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Note: Links lead to the DBLP on the Web. Haixun Wang Jiefeng Cheng , Jeffrey Xu Yu , Xuemin Lin , Haixun Wang, Philip S. Yu : Fast Computation of Reachability Labeling for Large Graphs. EDBT 2006 : 961-979 Haixun Wang, Hao He , Jun Yang , Philip S. Yu , Jeffrey Xu Yu : Dual Labeling: Answering Graph Reachability Queries in Constant Time. ICDE 2006 : 75 Hao He , Haixun Wang, Jun Yang , Philip S. Yu : Compact reachability labeling for graph-structured data. CIKM 2005 : 594-601 Haixun Wang, Wei Wang : Stay Current and Relevant in Data Mining Research. DASFAA 2005 : 239 Haixun Wang, Jian Pei , Philip S. Yu : Online Mining of Data Streams: Applications, Techniques and Progress. ICDE 2005 : 1146 Haixun Wang, Xiaofeng Meng : On the Sequencing of Tree Structures for XML Indexing. ICDE 2005 : 372-383 Peng Wang , Haixun Wang, Xiaochen Wu , Wei Wang , Baile Shi : On Reducing Classifier Granularity in Mining Concept-Drifting Data Streams. ICDM 2005 : 474-481 Jian Pei , Jian Liu , Haixun Wang, Ke Wang , Philip S. Yu , Jianyong Wang : Efficiently Mining Frequent Closed Partial Orders. ICDM 2005 : 753-756 Haixun Wang, Jian Pei , Philip S. Yu : Pattern-based similarity search for microarray data. KDD 2005 : 814-819 Haixun Wang, Jian Pei : A Random Method for Quantifying Changing Distributions in Data Streams. PKDD 2005 : 684-691 Yun Chi , Philip S. Yu , Haixun Wang, Richard R. Muntz : Loadstar: A Load Shedding Scheme for Classifying Data Streams. SDM 2005 Haixun Wang, Chang-Shing Perng , Philip S. Yu : Near-Neighbor Search in Pattern Distance Spaces. SDM 2005 Chang Luo , Hetal Thakkar , Haixun Wang, Carlo Zaniolo : A native extension of SQL for mining data streams. SIGMOD Conference 2005 : 873-875 Yun Chi , Haixun Wang, Philip S. Yu : Loadstar: Load Shedding in Data Stream Mining. VLDB 2005 : 1303-1305 Haixun Wang, Philip S. Yu , Jiawei Han : Mining Data Streams. The Data Mining and Knowledge Discovery Handbook 2005 : 777-792 Jiong Yang , Haixun Wang, Wei Wang , Philip S. Yu : An Improved Biclustering Method for Analyzing Gene Expression Profiles. International Journal on Artificial Intelligence Tools 14 (5): 771-790 (2005) Haixun Wang, Chang-Shing Perng , Sheng Ma , Philip S. Yu : Demand-driven frequent itemset mining using pattern structures. Knowl. Inf. Syst. 8 (1): 82-102 (2005) Wei Fan , Philip S. Yu , Haixun Wang: Mining Extremely Skewed Trading Anomalies. EDBT 2004 : 801-810 Yun Chi , Haixun Wang, Philip S. Yu , Richard R. Muntz : Moment: Maintaining Closed Frequent Itemsets over a Stream Sliding Window. ICDM 2004 : 59-66 Wei Fan , Yi-an Huang , Haixun Wang, Philip S. Yu : Active Mining of Data Streams. SDM 2004 Xiaofeng Meng , Yu Jiang , Yan Chen , Haixun Wang: XSeq: An Index Infrastructure for Tree Pattern Queries. SIGMOD Conference 2004 : 941-942 Haixun Wang, Fang Chu , Wei Fan , Philip S. Yu , Jian Pei : A Fast Algorithm for Subspace Clustering by Pattern Similarity. SSDBM 2004 : 51- Yan-Nei Law , Haixun Wang, Carlo Zaniolo : Query Languages and Data Models for Database Sequences and Data Streams. VLDB 2004 : 492-503 Yu Wang , Haixun Wang, Xiaofeng Meng , Shan Wang : Estimating the Selectivity of XML Path Expression with Predicates by Histograms. WAIM 2004 : 409-418 Jiong Yang , Haixun Wang, Wei Wang , Philip S. Yu : Enhanced Biclustering on Expression Data. BIBE 2003 : 321-327 Haixun Wang, Chang-Shing Perng , Wei Fan , Sanghyun Park , Philip S. Yu : Indexing Weighted-Sequences in Large Databases. ICDE 2003 : 63-74 Jian Pei , Xiaoling Zhang , Moonjung Cho , Haixun Wang, Philip S. Yu : MaPle: A Fast Algorithm for Maximal Pattern-based Clustering. ICDM 2003 : 259-266 Wei Fan , Haixun Wang, Philip S. Yu , Sheng Ma : Is random model better? On its accuracy and efficiency. ICDM 2003 : 51-58 Wei Fan , Haixun Wang, Philip S. Yu , Shaw-hwa Lo : Inductive Learning in Less Than One Sequential Data Scan. IJCAI 2003 : 595-600 Haixun Wang, Wei Fan , Philip S. Yu , Jiawei Han : Mining concept-drifting data streams using ensemble classifiers. KDD 2003 : 226-235 Haixun Wang, Carlo Zaniolo : ATLaS: A Native Extension of SQL for Data Mining. SDM 2003 Carlo Zaniolo , Chang Luo , Y. Law , Haixun Wang: Incompleteness of Database Languages for Data Streams and Data Mining: the Problem and the Cure. SEBD 2003 : 5-20 Haixun Wang, Sanghyun Park , Wei Fan , Philip S. Yu : ViST: A Dynamic Index Method for Querying XML Data by Tree Structures. SIGMOD Conference 2003 : 110-121 Haixun Wang, Carlo Zaniolo , Chang Luo : ATLAS: A Small but Complete SQL Extension for Data Mining and Data Streams. VLDB 2003 : 1113-1116 Zhiyuan Chen , Li Chen , Jian Pei , Yufei Tao , Haixun Wang, Wei Wang , Jiong Yang , Jun Yang , Donghui Zhang : Recent Progress on Selected Topics in Database Research - A Report by Nine Young Chinese Researchers Working in the United States. J. Comput. Sci. Technol. 18 (5): 538-552 (2003) Faiz Arni , KayLiang Ong , Shalom Tsur , Haixun Wang, Carlo Zaniolo : The Deductive Database System LDL++. TPLP 3 (1): 61-94 (2003) Wei Fan , Fang Chu , Haixun Wang, Philip S. Yu : Pruning and Dynamic Scheduling of Cost-Sensitive Ensembles. AAAI/IAAI 2002 : 146-151 Haixun Wang, Chang-Shing Perng , Wei Fan , Philip S. Yu : An Index Structure for Pattern Similarity Searching in DNA Microarray Dat. CSB 2002 : 256-267 Haixun Wang, Carlo Zaniolo : Extending SQL for Decision Support Applications. DMDW 2002 : 1-2 Wei Fan , Haixun Wang, Philip S. Yu , Salvatore J. Stolfo : A Fully Distributed Framework for Cost-Sensitive Data Mining. ICDCS 2002 : 445-446 Haixun Wang, Carlo Zaniolo : The ATLaS System and Its Powerful Database Language Based on Simple Extensions of SQL. ICDE 2002 : 280-281 Jiong Yang , Wei Wang , Haixun Wang, Philip S. Yu : d-Clusters: Capturing Subspace Correlation in a Large Data Set. ICDE 2002 : 517-528 Wei Fan , Haixun Wang, Philip S. Yu , Shaw-hwa Lo , Salvatore J. Stolfo : Progressive Modeling. ICDM 2002 : 163-170 Naoki Abe , Edwin P. D. Pednault , Haixun Wang, Bianca Zadrozny , Wei Fan , Chidanand Apté : Empirical Comparison of Various Reinforcement Learning Strategies for Sequential Targeted Marketing. ICDM 2002 : 3-10 Chang-Shing Perng , Haixun Wang, Sheng Ma , Joseph L. Hellerstein : User-directed Exploration of Mining Space with Multiple Attributes. ICDM 2002 : 394-401 Haixun Wang, Chang-Shing Perng , Sheng Ma , Philip S. Yu : Mining Associations by Pattern Structure in Large Relational Tables. ICDM 2002 : 482-489 Wei Fan , Haixun Wang, Philip S. Yu , Salvatore J. Stolfo : A Framework for Scalable Cost-sensitive Learning Based on Combing Probabilities and Benefits. SDM 2002 Haixun Wang, Wei Wang , Jiong Yang , Philip S. Yu : Clustering by pattern similarity in large data sets. SIGMOD Conference 2002 : 394-405 Faiz Arni , KayLiang Ong , Shalom Tsur , Haixun Wang, Carlo Zaniolo : The Deductive Database System LDL++ CoRR cs.DB/0202001 : (2002) Chang-Shing Perng , Haixun Wang, Sheng Ma , Joseph L. Hellerstein : Discovery in multi-attribute data with user-defined constraints. SIGKDD Explorations 4 (1): 56-64 (2002) Chang-Shing Perng , Haixun Wang, Sheng Ma , Joseph L. Hellerstein : FARM: A Framework for Exploring Mining Spaces with Multiple Attributes. ICDM 2001 : 449-456 Haixun Wang, Philip S. Yu : SSDT: A Scalable Subspace-Splitting Classifier for Biased Data. ICDM 2001 : 542-549 Haixun Wang, Chang-Shing Perng : The S 2 -Tree : An Index Structure for Subsequence Matching of Spatial Objects. PAKDD 2001 : 312-323 Haixun Wang, Carlo Zaniolo : Database System Extensions for Decision Support: the AXL Approach. ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery 2000 : 11-20 Haixun Wang, Carlo Zaniolo : User Defined Aggregates in Object-Relational Systems. ICDE 2000 : 135-144 Chang-Shing Perng , Haixun Wang, Sylvia R. Zhang , Douglas Stott Parker Jr. : Landmarks: a New Model for Similarity-based Pattern Querying in Time Series Databases. ICDE 2000 : 33-42 Haixun Wang, Carlo Zaniolo : CMP: A Fast Decision Tree Classifier Using Multivariate Predictions. ICDE 2000 : 449-460 Haixun Wang, Carlo Zaniolo : Using SQL to Build New Aggregates and Extenders for Object- Relational Systems. VLDB 2000 : 166-175 Haixun Wang, Carlo Zaniolo : User-Defined Aggregates for Datamining. 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery 1999 Haixun Wang, Carlo Zaniolo : User-Defined Aggregates in Database Languages. DBPL 1999 : 43-60 Haixun Wang, Carlo Zaniolo : User Defined Aggregates for Logical Data Languages. DDLP 1998 : 85-97 1 [ 18 ] 2 [ 18 ] 3 [ 13 ] [ 26 ] 4 [ 27 ] 5 [ 41 ] 6 [ 27 ] 7 [ 61 ] 8 [ 43 ] [ 48 ] [ 51 ] 9 [ 35 ] 10 [ 25 ] [ 40 ] 11 [ 15 ] [ 18 ] [ 19 ] [ 22 ] [ 24 ] [ 25 ] [ 29 ] [ 32 ] [ 33 ] [ 34 ] [ 36 ] [ 40 ] [ 42 ] [ 44 ] 12 [ 32 ] [ 47 ] 13 [ 59 ] [ 60 ] 14 [ 11 ] [ 12 ] [ 17 ] 15 [ 42 ] 16 [ 41 ] 17 [ 30 ] 18 [ 39 ] 19 [ 61 ] 20 [ 54 ] 21 [ 19 ] [ 33 ] 22 [ 28 ] [ 30 ] [ 49 ] 23 [ 11 ] [ 12 ] [ 16 ] [ 17 ] [ 34 ] [ 45 ] 24 [ 38 ] [ 41 ] [ 56 ] 25 [ 43 ] [ 51 ] 26 [ 13 ] [ 26 ] 27 [ 29 ] [ 36 ] 28 [ 6 ] 29 [ 18 ] 30 [ 27 ] [ 35 ] [ 40 ] [ 52 ] [ 53 ] [ 54 ] [ 57 ] 31 [ 6 ] [ 9 ] [ 11 ] [ 12 ] [ 16 ] [ 17 ] [ 24 ] [ 36 ] [ 45 ] [ 50 ] 32 [ 55 ] 33 [ 15 ] [ 19 ] [ 22 ] 34 [ 27 ] 35 [ 49 ] 36 [ 13 ] [ 26 ] 37 [ 54 ] 38 [ 54 ] 39 [ 55 ] 40 [ 38 ] 41 [ 14 ] [ 20 ] [ 27 ] [ 37 ] [ 46 ] [ 55 ] [ 58 ] 42 [ 38 ] 43 [ 55 ] 44 [ 14 ] [ 20 ] [ 27 ] [ 37 ] [ 46 ] 45 [ 27 ] [ 59 ] [ 60 ] 46 [ 60 ] [ 61 ] 47 [ 10 ] [ 14 ] [ 15 ] [ 16 ] [ 19 ] [ 20 ] [ 22 ] [ 24 ] [ 25 ] [ 29 ] [ 32 ] [ 33 ] [ 34 ] [ 35 ] [ 36 ] [ 37 ] [ 40 ] [ 42 ] [ 43 ] [ 44 ] [ 45 ] [ 46 ] [ 47 ] [ 48 ] [ 50 ] [ 51 ] [ 53 ] [ 54 ] [ 57 ] [ 59 ] [ 60 ] [ 61 ] 48 [ 18 ] 49 [ 1 ] [ 2 ] [ 3 ] [ 4 ] [ 5 ] [ 7 ] [ 8 ] [ 13 ] [ 21 ] [ 23 ] [ 26 ] [ 28 ] [ 30 ] [ 31 ] [ 39 ] [ 49 ] 50 [ 27 ] 51 [ 6 ] 52 [ 35 ]  ©2006 Association for Computing Machinery |
