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Wei Wang 0010
Author information
- UCLA / University of North Carolina at Chapel Hill
Other persons with the same name
- Wei Wang
- Wei Wang 0002 — National University of Singapore
- Wei Wang 0003 — College of Nanoscale Science, University at Albany / Purdue University Indianapolis
- Wei Wang 0004 — School of Life Science, Fudan University, China
- Wei Wang 0005 — Center for Engineering and Scientific Computation, Zhejiang University, China
- Wei Wang 0006 — Language Weaver, Inc.
- Wei Wang 0007 — ThinkIT Speech Lab, Institute of Acoustics, Chinese Academy of Sciences
- Wei Wang 0008 — Nonlinear Systems Laboratory, Department of Mechanical Engineering, MIT
- Wei Wang 0009 — Fudan University, Shanghai, China
- Wei Wang 0011 — The University of New South Wales, Australia
- Wei Wang 0012 — Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg / NRIA Sophia Antipolis, France
- Wei Wang 0013 — Institute of Computational Linguistics, Peking University
- Wei Wang 0014 — Rutgers University, New Brunswick, NJ, USA
- Wei Wang 0015 — South Dakota State University
- Wei Wang 0016 — Dept. of Automation, Tsinghua University / Nanyang Technological University, Singapore
- Wei Wang 0017 — The Chinese University of Hong Kong, Mechanical and Automation Engineering
- Wei Wang 0018 — University of Maryland Baltimore County
- Wei Wang 0019 — University of Naval Engineering
- Wei Wang 0020 — Research and Innovation Center, Alcatel Lucent Shanghai
- Wei Wang 0021 — Department of Information Science and Electronic Engineering, Zhejiang University
- Wei Wang 0022 — Key Lab. of Universal Wireless Communication, Beijing University of Posts and Telecommunications
- Wei Wang 0024 — IBM China Research Laboratory, Haidian District, Beijing
- Wei Wang 0025 — National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
- Wei Wang 0026 — DLR
- Wei Wang 0027 — Florida International University
- Wei Wang 0028 — Nanjing University
- Wei Wang 0029 — Dept. of Electronics and Computer Engineering, Illinois Institute of Technology, Chicago
- Wei Wang 0030 — University of Toronto
- Wei Wang 0031 — Wuhan National Laboratory of Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
- Wei Wang 0032 — School of Science, Xi'an Jiaotong University
- Wei Wang 0033 — Tongji University
- Wei Wang 0034 — Beijing University of Aeronautics and Astronautics
- Wei Wang 0035 — Key Laboratory of Cryptologic Technology and Information Security. Ministry of Education, Shandong University
- Wei Wang 0036 — Research Center of Information and Control, Dalian University of Technology
- Wei Wang 0037 — Bioimage Informatics, Carnegie Mellon Unviersity
- Wei Wang 0038 — University of California, Riverside
- Wei Wang 0039 — University of California, Berkeley
- Wei Wang 0040 — MediaNet Digital / Motorola / State University of New York at Buffalo
- Wei Wang 0041 — CUHK, Dept. of Computer Science and Engineering
- Wei Wang 0042 — University of Surrey / University of Nottingham, Malaysia
- Wei Wang 0043 — DOCOMO Beijing Labs
- Wei Wang 0044 — School of Transportation, Southeast University, Nanjing
- Wei Wang 0045 — Binghamton University
- Wei Wang 0046 — College of Physical and Electronic Information, Tianjin Normal University, Tianjin, China
- Wei Wang 0047 — School of Information Technology, Murdoch University, Murdoch, Australia
- Wei Wang 0048 — School of Mathematical Sciences, Dalian University of Technology, Dalian, P. R. China
- Wei Wang 0049 — Institute of Software, Chinese Academy of Sciences
2010 – today
- 2013
[j27]Zhaojun Zhang, Shunping Huang, Jack Wang, Xiang Zhang, Fernando Pardo-Manuel de Villena, Leonard McMillan, Wei Wang: GeneScissors: a comprehensive approach to detecting and correcting spurious transcriptome inference owing to RNA-seq reads misalignment. Bioinformatics 29(13): 291-299 (2013)- 2012
- [j26]Kai Xia, Andrey A. Shabalin, Shunping Huang, Vered Madar, Yi-Hui Zhou, Wei Wang, Fei Zou, Wei Sun, Patrick F. Sullivan, Fred A. Wright: seeQTL: a searchable database for human eQTLs. Bioinformatics 28(3): 451-452 (2012)
- 2011
- [j25]Xiang Zhang, Shunping Huang, Fei Zou, Wei Wang: Tools for efficient epistasis detection in genome-wide association study. Source Code for Biology and Medicine 6: 1 (2011)
- [c86]
- [c85]
- [c84]Wei Cheng, Xiaochuan Ni, Jian-Tao Sun, Xiaoming Jin, Hye-Chung Kum, Xiang Zhang, Wei Wang: Measuring Opinion Relevance in Latent Topic Space. SocialCom/PASSAT 2011: 323-330
- [e7]Robert Grossman, Andrey Rzhetsky, Sun Kim, Wei Wang (Eds.): ACM International Conference on Bioinformatics, Computational Biology and Biomedicine, BCB' 11, Chicago, IL, USA - July 31 - August 03, 2011. ACM 2011, ISBN 978-1-4503-0796-3
- [e6]Diane J. Cook, Jian Pei, Wei Wang, Osmar R. Zaïane, Xindong Wu (Eds.): 11th IEEE International Conference on Data Mining, ICDM 2011, Vancouver, BC, Canada, December 11-14, 2011. IEEE 2011, ISBN 978-0-7695-4408-3
- [e5]Myra Spiliopoulou, Haixun Wang, Diane J. Cook, Jian Pei, Wei Wang, Osmar R. Zaïane, Xindong Wu (Eds.): Data Mining Workshops (ICDMW), 2011 IEEE 11th International Conference on, Vancouver, BC, Canada, December 11, 2011. IEEE 2011, ISBN 978-0-7695-4409-0
- 2010
- [j24]Eric Yi Liu, Qi Zhang, Leonard McMillan, Fernando Pardo-Manuel de Villena, Wei Wang: Efficient genome ancestry inference in complex pedigrees with inbreeding. Bioinformatics [ISMB] 26(12): 199-207 (2010)
- [j23]Xiang Zhang, Shunping Huang, Fei Zou, Wei Wang: TEAM: efficient two-locus epistasis tests in human genome-wide association study. Bioinformatics [ISMB] 26(12): 217-227 (2010)
- [j22]Ning Jin, Calvin Young, Wei Wang: Discriminative Subgraph Mining for Protein Classification. IJKDB 1(3): 36-52 (2010)
- [j21]Deepak Bandyopadhyay, Jun Huan, Jinze Liu, Jan Prins, Jack Snoeyink, Wei Wang, Alexander Tropsha: Functional neighbors: inferring relationships between nonhomologous protein families using family-specific packing motifs. IEEE Transactions on Information Technology in Biomedicine 14(5): 1137-1143 (2010)
- [c83]Jeremy W. Wang, Kyle J. Moore, Qi Zhang, Fernando Pardo-Manuel de Villena, Wei Wang, Leonard McMillan: Genome-wide compatible SNP intervals and their properties. BCB 2010: 43-52
- [c82]Isa Kemal Pakatci, Wei Wang, Leonard McMillan: Gene set analysis using principal components. BCB 2010: 330-333
- [c81]Ning Jin, Calvin Young, Wei Wang: GAIA: graph classification using evolutionary computation. SIGMOD Conference 2010: 879-890
- [p3]Wei Wang, Jiong Yang: Mining High-Dimensional Data. Data Mining and Knowledge Discovery Handbook 2010: 803-808
2000 – 2009
- 2009
- [j20]Deepak Bandyopadhyay, Jun Huan, Jan Prins, Jack Snoeyink, Wei Wang, Alexander Tropsha: Identification of family-specific residue packing motifs and their use for structure-based protein function prediction: I. Method development. Journal of Computer-Aided Molecular Design 23(11): 773-784 (2009)
- [j19]Deepak Bandyopadhyay, Jun Huan, Jan Prins, Jack Snoeyink, Wei Wang, Alexander Tropsha: Identification of family-specific residue packing motifs and their use for structure-based protein function prediction: II. Case studies and applications. Journal of Computer-Aided Molecular Design 23(11): 785-797 (2009)
- [j18]Xiang Zhang, Fei Zou, Wei Wang: Efficient algorithms for genome-wide association study. TKDD 3(4) (2009)
- [c80]Ning Jin, Calvin Young, Wei Wang: Graph classification based on pattern co-occurrence. CIKM 2009: 573-582
- [c79]Qi Zhang, Wei Wang, Leonard McMillan, Fernando Pardo-Manuel de Villena, David Threadgill: Inferring Genome-Wide Mosaic Structure. Pacific Symposium on Biocomputing 2009: 150-161
- [c78]Feng Pan, Leonard McMillan, Fernando Pardo-Manuel de Villena, David Threadgill, Wei Wang: TreeQA: Quantitative Genome Wide Association Mapping Using Local Perfect Phylogeny Trees. Pacific Symposium on Biocomputing 2009: 415-426
- [c77]Xiang Zhang, Fei Zou, Wei Wang: FastChi: An Efficient Algorithm for Analyzing Gene-Gene Interactions. Pacific Symposium on Biocomputing 2009: 528-539
- [c76]Xiang Zhang, Feng Pan, Yuying Xie, Fei Zou, Wei Wang: COE: A General Approach for Efficient Genome-Wide Two-Locus Epistasis Test in Disease Association Study. RECOMB 2009: 253-269
- [c75]Qi Zhang, Eric Yi Liu, Abhishek Sarkar, Wei Wang: Split-Order Distance for Clustering and Classification Hierarchies. SSDBM 2009: 517-534
- [e4]Wei Wang, Hillol Kargupta, Sanjay Ranka, Philip S. Yu, Xindong Wu (Eds.): ICDM 2009, The Ninth IEEE International Conference on Data Mining, Miami, Florida, USA, 6-9 December 2009. IEEE Computer Society 2009, ISBN 978-0-7695-3895-2
- [e3]Yücel Saygin, Jeffrey Xu Yu, Hillol Kargupta, Wei Wang, Sanjay Ranka, Philip S. Yu, Xindong Wu (Eds.): ICDM Workshops 2009, IEEE International Conference on Data Mining Workshops, Miami, Florida, USA, 6 December 2009. IEEE Computer Society 2009, ISBN 978-0-7695-3902-7
- 2008
- [j17]Xiang Zhang, Feng Pan, Wei Wang, Andrew B. Nobel: Mining non-redundant high order correlations in binary data. PVLDB 1(1): 1178-1188 (2008)
- [j16]Mohammed J. Zaki, George Karypis, Jiong Yang, Wei Wang: Introduction to special issue on bioinformatics. TKDD 2(1) (2008)
- [c74]Deepak Bandyopadhyay, Jun Huan, Jinze Liu, Jan Prins, Jack Snoeyink, Wei Wang, Alexander Tropsha: Functional Neighbors: Inferring Relationships between Non-Homologous Protein Families Using Family-Specific Packing Motifs. BIBM 2008: 199-206
- [c73]Xiang Zhang, Feng Pan, Wei Wang: REDUS: finding reducible subspaces in high dimensional data. CIKM 2008: 961-970
- [c72]Xiang Zhang, Feng Pan, Wei Wang: CARE: Finding Local Linear Correlations in High Dimensional Data. ICDE 2008: 130-139
- [c71]Mengsheng Zhang, Wei Wang, Jinze Liu: Mining Approximate Order Preserving Clusters in the Presence of Noise. ICDE 2008: 160-168
- [c70]
- [c69]Feng Pan, Xiang Zhang, Wei Wang: A General Framework for Fast Co-clustering on Large Datasets Using Matrix Decomposition. ICDE 2008: 1337-1339
- [c68]Feng Pan, Lynda Yang, Leonard McMillan, Fernando Pardo-Manuel de Villena, David Threadgill, Wei Wang: Quantitative Association Analysis Using Tree Hierarchies. ICDM 2008: 971-976
- [c67]Xiang Zhang, Fei Zou, Wei Wang: Fastanova: an efficient algorithm for genome-wide association study. KDD 2008: 821-829
- [c66]Feng Pan, Xiang Zhang, Wei Wang: CRD: fast co-clustering on large datasets utilizing sampling-based matrix decomposition. SIGMOD Conference 2008: 173-184
- [c65]Qi Zhang, Wei Wang, Leonard McMillan, Jan Prins, Fernando Pardo-Manuel de Villena, David Threadgill: Genotype Sequence Segmentation: Handling Constraints and Noise. WABI 2008: 271-283
- 2007
- [j15]Hye-Chung Kum, Joong Hyuk Chang, Wei Wang: Benchmarking the effectiveness of sequential pattern mining methods. Data Knowl. Eng. 60(1): 30-50 (2007)
- [c64]
- [c63]Feng Pan, Wei Wang, Leonard McMillan: Accelerating Profile Queries in Elevation Maps. ICDE 2007: 76-85
- [c62]David W. Williams, Jun Huan, Wei Wang: Graph Database Indexing Using Structured Graph Decomposition. ICDE 2007: 976-985
- [c61]Feng Pan, Adam Roberts, Leonard McMillan, David Threadgill, Wei Wang: Sample Selection for Maximal Diversity. ICDM 2007: 262-271
- [c60]
- [c59]Adam Roberts, Leonard McMillan, Wei Wang, Joel Parker, Ivan Rusyn, David Threadgill: Inferring missing genotypes in large SNP panels using fast nearest-neighbor searches over sliding windows. ISMB/ECCB (Supplement of Bioinformatics) 2007: 401-407
- [c58]Hye-Chung Kum, Joong Hyuk Chang, Wei Wang: Intelligent Sequential Mining Via Alignment: Optimization Techniques for Very Large DB. PAKDD 2007: 587-597
- [c57]Jinze Liu, Qi Zhang, Wei Wang, Leonard McMillan, Jan Prins: PoClustering: Lossless Clustering of Dissimilarity Data. SDM 2007
- [c56]
- [c55]Qi Zhang, Wei Wang: A Fast Algorithm for Approximate Quantiles in High Speed Data Streams. SSDBM 2007: 29
- [c54]Xueyi Wang, Jun Huan, Jack Snoeyink, Wei Wang: Mining RNA Tertiary Motifs with Structure Graphs. SSDBM 2007: 31
- [c53]Xiang Zhang, Wei Wang: An Efficient Algorithm for Mining Coherent Patterns from Heterogeneous Microarrays. SSDBM 2007: 32
- 2006
- [j14]Jun Huan, Jan Prins, Wei Wang: Local Structure Comparison of Proteins. Advances in Computers 68: 180-255 (2006)
- [j13]Hye-Chung Kum, Joong Hyuk Chang, Wei Wang: Sequential Pattern Mining in Multi-Databases via Multiple Alignment. Data Min. Knowl. Discov. 12(2-3): 151-180 (2006)
- [c52]Xiang Zhang, Wei Wang: Mining coherent patterns from heterogeneous microarray data. CIKM 2006: 838-839
- [c51]Xin Xu, Ying Lu, Anthony K. H. Tung, Wei Wang: Mining Shifting-and-Scaling Co-Regulation Patterns on Gene Expression Profiles. ICDE 2006: 89
- [c50]Jinze Liu, Qi Zhang, Wei Wang, Leonard McMillan, Jan Prins: Clustering pair-wise dissimilarity data into partially ordered sets. KDD 2006: 637-642
- [c49]Wen Jin, Anthony K. H. Tung, Jiawei Han, Wei Wang: Ranking Outliers Using Symmetric Neighborhood Relationship. PAKDD 2006: 577-593
- [c48]Jinze Liu, Susan Paulsen, Xing Sun, Wei Wang, Andrew B. Nobel, Jan Prins: Mining Approximate Frequent Itemsets In the Presence of Noise: Algorithm and Analysis. SDM 2006
- [c47]Guodong Liu, Jingdan Zhang, Wei Wang, Leonard McMillan: Human motion estimation from a reduced marker set. SI3D 2006: 35-42
- 2005
- [b1]Wei Wang, Jiong Yang: Mining Sequential Patterns from Large Data Sets. Advances in Database Systems 28, Kluwer 2005, ISBN 978-0-387-24246-0, pp. 1-161
- [j12]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)
- [j11]Jun Huan, Deepak Bandyopadhyay, Wei Wang, Jack Snoeyink, Jan Prins, Alexander Tropsha: Comparing Graph Representations of Protein Structure for Mining Family-Specific Residue-Based Packing Motifs. Journal of Computational Biology 12(6): 657-671 (2005)
- [j10]Srinivasan Parthasarathy, Wei Wang, Mohammed Javeed Zaki: BIOKDD 2005 workshop report. SIGKDD Explorations 7(2): 129-131 (2005)
- [c46]Feng Pan, Wei Wang, Anthony K. H. Tung, Jiong Yang: Finding Representative Set from Massive Data. ICDM 2005: 338-345
- [c45]Jinze Liu, Susan Paulsen, Wei Wang, Andrew B. Nobel, Jan Prins: Mining Approximate Frequent Itemsets from Noisy Data. ICDM 2005: 721-724
- [c44]Guodong Liu, Jingdan Zhang, Wei Wang, Leonard McMillan: A system for analyzing and indexing human-motion databases. SIGMOD Conference 2005: 924-926
- [p2]Wei Wang, Jiong Yang: Mining High-Dimensional Data. The Data Mining and Knowledge Discovery Handbook 2005: 793-799
- [p1]Hye-Chung (Monica) Kum, Susan Paulsen, Wei Wang: Comparative Study of Sequential Pattern Mining Models. Foundations of Data Mining and knowledge Discovery 2005: 43-70
- [e2]Wei Wang, Jiong Yang: Guest Editors' Introduction: Special Issue on Mining Biological Data. IEEE Trans. Knowl. Data Eng. 17(8): 1019-1020 (2005)
- 2004
- [j9]Jiong Yang, Wei Wang, Philip S. Yu: Mining Surprising Periodic Patterns. Data Min. Knowl. Discov. 9(2): 189-216 (2004)
- [j8]Wei Wang, Jiong Yang, Philip S. Yu: WAR: Weighted Association Rules for Item Intensities. Knowl. Inf. Syst. 6(2): 203-229 (2004)
- [j7]Jiong Yang, Wei Wang, Philip S. Yu: Discovering High-Order Periodic Patterns. Knowl. Inf. Syst. 6(3): 243-268 (2004)
- [c43]Jinze Liu, Jiong Yang, Wei Wang: Biclustering in Gene Expression Data by Tendency. CSB 2004: 182-193
- [c42]Jinze Liu, Wei Wang, Jiong Yang: Gene Ontology Friendly Biclustering of Expression Profiles. CSB 2004: 436-447
- [c41]Dean Duncan, Hye-Chung Kum, Kimberly Flair, Wei Wang: Adopting IT for Effective Management of Social Welfare Programs. DG.O 2004
- [c40]Dean Duncan, Hye-Chung Kum, Kimberly Flair, Wei Wang: Successfully Adopting IT for Social Welfare Program Management. DG.O 2004
- [c39]Hye-Chung Kum, Dean Duncan, Wei Wang: Understanding Social Welfare Service Patterns Using Sequential Analysis. DG.O 2004
- [c38]Jinze Liu, Karl Strohmaier, Wei Wang: Revealing True Subspace Clusters in High Dimensions. ICDM 2004: 463-466
- [c37]Jiong Yang, Wei Wang: AGILE: A General Approach to Detect Transitions in Evolving Data Streams. ICDM 2004: 559-562
- [c36]Jun Huan, Wei Wang, Jan Prins, Jiong Yang: SPIN: mining maximal frequent subgraphs from graph databases. KDD 2004: 581-586
- [c35]Jinze Liu, Wei Wang, Jiong Yang: A framework for ontology-driven subspace clustering. KDD 2004: 623-628
- [c34]Jun Huan, Wei Wang, Anglina Washington, Jan Prins, Ruchir Shah, Alexander Tropsha: Accurate Classification of Protein Structural Families Using Coherent Subgraph Analysis. Pacific Symposium on Biocomputing 2004: 411-422
- [c33]Jun Huan, Wei Wang, Deepak Bandyopadhyay, Jack Snoeyink, Jan Prins, Alexander Tropsha: Mining protein family specific residue packing patterns from protein structure graphs. RECOMB 2004: 308-315
- [c32]Naga K. Govindaraju, Brandon Lloyd, Wei Wang, Ming C. Lin, Dinesh Manocha: Fast Computation of Database Operations using Graphics Processors. SIGMOD Conference 2004: 215-226
- [c31]Jiong Yang, Wei Wang, Philip S. Yu: BASS: Approximate Search on Large String Databases. SSDBM 2004: 181-190
- 2003
- [j6]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)
- [j5]Jiong Yang, Wei Wang, Philip S. Yu: Mining Asynchronous Periodic Patterns in Time Series Data. IEEE Trans. Knowl. Data Eng. 15(3): 613-628 (2003)
- [c30]Jiong Yang, Haixun Wang, Wei Wang, Philip S. Yu: Enhanced Biclustering on Expression Data. BIBE 2003: 321-327
- [c29]Hwanjo Yu, Jiong Yang, Wei Wang, Jiawei Han: Discovering Compact and Highly Discriminative Features or Feature Combinations of Drug Activities Using Support Vector Machines. CSB 2003: 220-228
- [c28]Jun Huan, Jan Prins, Wei Wang, Todd J. Vision: Reconstruction of Ancestral Gene Order after Segmental Duplication and Gene Loss. CSB 2003: 484-485
- [c27]Hye-Chung (Monica) Kum, Dean Duncan, Kimberly Flair, Wei Wang: Management Assistance for Work First via a Dynamic Website. DG.O 2003
- [c26]Hye-Chung (Monica) Kum, Dean Duncan, Kimberly Flair, Wei Wang: Social Welfare Program Administration and Evaluation and Policy Analysis Using Knowledge Discovery and Data Mining (KDD) on Administrative Data. DG.O 2003
- [c25]
- [c24]
- [c23]
- [c22]Hye-Chung Kum, Jian Pei, Wei Wang, Dean Duncan: ApproxMAP: Approximate Mining of Consensus Sequential Patterns. SDM 2003
- [c21]Jiong Yang, Wei Wang, Philip S. Yu: STAMP: On Discovery of Statistically Important Pattern Repeats in Long Sequential Data. SDM 2003
- [e1]Guozhu Dong, Changjie Tang, Wei Wang (Eds.): Advances in Web-Age Information Management, 4th International Conference, WAIM 2003, Chengdu, China, August 17-19, 2003, Proceedings. Lecture Notes in Computer Science 2762, Springer 2003, ISBN 3-540-40715-4
- 2002
- [c20]
- [c19]Jiong Yang, Wei Wang, Yi Xia, Philip S. Yu: Accelerating Approximate Subsequence Search on Large Protein Sequence Databases. CSB 2002: 207-
- [c18]Wei Wang, Jiong Yang: A Framework Towards Efficient and Effective Sequence Clusterin. ICDE 2002: 282
- [c17]Jiong Yang, Wei Wang, Haixun Wang, Philip S. Yu: delta-Clusters: Capturing Subspace Correlation in a Large Data Set. ICDE 2002: 517-528
- [c16]Jiong Yang, Wei Wang, Philip S. Yu: InfoMiner+: Mining Partial Periodic Patterns with Gap Penalties. ICDM 2002: 725-728
- [c15]Yi Xia, Wei Wang, Jiong Yang, Philip S. Yu, Richard R. Muntz: Efficient Filtering of Large DatasetA User-Centric Paradigm. SDM 2002
- [c14]Haixun Wang, Wei Wang, Jiong Yang, Philip S. Yu: Clustering by pattern similarity in large data sets. SIGMOD Conference 2002: 394-405
- [c13]Jiong Yang, Wei Wang, Philip S. Yu, Jiawei Han: Mining long sequential patterns in a noisy environment. SIGMOD Conference 2002: 406-417
- 2001
- [c12]Wei Wang, Jiong Yang, Richard R. Muntz: TAR: Temporal Association Rules on Evolving Numerical Attributes. ICDE 2001: 283-292
- [c11]Wei Wang, Jiong Yang, Philip S. Yu: Meta-patterns: Revealing Hidden Periodic Patterns. ICDM 2001: 550-557
- [c10]Jiong Yang, Wei Wang, Philip S. Yu: Infominer: mining surprising periodic patterns. KDD 2001: 395-400
- 2000
- [j4]Wei Wang, Jiong Yang, Philip S. Yu: Mining Patterns in Long Sequential Data with Noise. SIGKDD Explorations 2(2): 28-33 (2000)
- [j3]Jiong Yang, Wei Wang, Silvia Nittel, Richard R. Muntz, Vince Busam: Dynamo: design, implementation, and evaluation of cooperative persistent object management in a local area network. Softw., Pract. Exper. 30(4): 419-448 (2000)
- [j2]Wei Wang, Jiong Yang, Richard R. Muntz: An Approach to Active Spatial Data Mining Based on Statistical Information. IEEE Trans. Knowl. Data Eng. 12(5): 715-728 (2000)
- [c9]Jiong Yang, Wei Wang, Richard R. Muntz, Silvia Nittel: Dynamic Adaptive File Management in a Local Area Network. ICDCS 2000: 368-375
- [c8]Wei Wang, Jiong Yang, Philip S. Yu: Efficient mining of weighted association rules (WAR). KDD 2000: 270-274
- [c7]Jiong Yang, Wei Wang, Philip S. Yu: Mining asynchronous periodic patterns in time series data. KDD 2000: 275-279
- [c6]Jiong Yang, Wei Wang, Richard R. Muntz: Collaborative Web caching based on proxy affinities. SIGMETRICS 2000: 78-89
1990 – 1999
- 1999
- [c5]Wei Wang, Jiong Yang, Richard R. Muntz: STING+: An Approach to Active Spatial Data Mining. ICDE 1999: 116-125
- 1998
- [j1]Weiyi Meng, Clement T. Yu, Wei Wang, Naphtali Rishe: Performance Analysis of Three Text-Join Algorithms. IEEE Trans. Knowl. Data Eng. 10(3): 477-492 (1998)
- [c4]Wei Wang, Jiong Yang, Richard R. Muntz: PK-tree: A Spatial Index Structure for High Dimensional Point Data. FODO 1998: 27-36
- [c3]Jiong Yang, Silvia Nittel, Wei Wang, Richard R. Muntz: DynamO: Dynamic Objects with Persistent Storage. POS/PJW 1998: 199-214
- 1997
- [c2]Wei Wang, Jiong Yang, Richard R. Muntz: STING: A Statistical Information Grid Approach to Spatial Data Mining. VLDB 1997: 186-195
- 1996
- [c1]Weiyi Meng, Clement T. Yu, Wei Wang, Naphtali Rishe: Performance Analysis of Several Algorithms for Processing Joins between Textual Attributes. ICDE 1996: 636-644
Coauthor Index
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last updated on 2013-10-16 21:28 CEST by the dblp team