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Jiong Yang
2010 – today
- 2013
[c65]Shijie Zhang, Jiong Yang, Boya Sun: SuReQL: A subgraph match based relational model for large graphs. ICDE Workshops 2013: 212-215- 2012
- [c64]Xin Huang, Hong Cheng, Jiong Yang, Jeffrey Xu Yu, Hongliang Fei, Jun Huan: Semi-supervised Clustering of Graph Objects: A Subgraph Mining Approach. DASFAA (1) 2012: 197-212
- [c63]Jiong Yang, Wei Su, Shirong Li, Mehmet M. Dalkiliç: WIGM: Discovery of Subgraph Patterns in a Large Weighted Graph. SDM 2012: 1083-1094
- 2011
- [j24]
- [c62]Jiong Yang, Shijie Zhang, Wei Jin: DELTA: indexing and querying multi-labeled graphs. CIKM 2011: 1765-1774
- [c61]
- [c60]Jiong Yang, Wei Jin: BR-Index: An Indexing Structure for Subgraph Matching in Very Large Dynamic Graphs. SSDBM 2011: 322-331
- 2010
- [j23]Shijie Zhang, Jiong Yang, Wei Jin: SAPPER: Subgraph Indexing and Approximate Matching in Large Graphs. PVLDB 3(1): 1185-1194 (2010)
- [c59]Shijie Zhang, Shirong Li, Jiong Yang: SUMMA: subgraph matching in massive graphs. CIKM 2010: 1285-1288
- [c58]Boya Sun, Gang Shu, Andy Podgurski, Shirong Li, Shijie Zhang, Jiong Yang: Propagating Bug Fixes with Fast Subgraph Matching. ISSRE 2010: 21-30
- [c57]Shirong Li, Shijie Zhang, Jiong Yang: DESSIN: Mining Dense Subgraph Patterns in a Single Graph. SSDBM 2010: 178-195
- [p3]Wei Wang, Jiong Yang: Mining High-Dimensional Data. Data Mining and Knowledge Discovery Handbook 2010: 803-808
2000 – 2009
- 2009
- [j22]Shijie Zhang, Wei Su, Jiong Yang: ARCS-Motif: discovering correlated motifs from unaligned biological sequences. Bioinformatics 25(2): 183-189 (2009)
- [c56]Shijie Zhang, Shirong Li, Jiong Yang: GADDI: distance index based subgraph matching in biological networks. EDBT 2009: 192-203
- [c55]Shijie Zhang, Jiong Yang, Shirong Li: RING: An Integrated Method for Frequent Representative Subgraph Mining. ICDM 2009: 1082-1087
- 2008
- [j21]Pankaj Chopra, Jaewoo Kang, Jiong Yang, HyungJun Cho, Heenam Stanley Kim, Min-Goo Lee: Microarray data mining using landmark gene-guided clustering. BMC Bioinformatics 9 (2008)
- [j20]Meng Hu, Kwangmin Choi, Wei Su, Sun Kim, Jiong Yang: A gene pattern mining algorithm using interchangeable gene sets for prokaryotes. BMC Bioinformatics 9 (2008)
- [j19]Mohammed J. Zaki, George Karypis, Jiong Yang, Wei Wang: Introduction to special issue on bioinformatics. TKDD 2(1) (2008)
- [j18]Ray-Yaung Chang, Andy Podgurski, Jiong Yang: Discovering Neglected Conditions in Software by Mining Dependence Graphs. IEEE Trans. Software Eng. 34(5): 579-596 (2008)
- [c54]
- [c53]
- 2007
- [j17]Mohammed J. Zaki, George Karypis, Jiong Yang: Data Mining in Bioinformatics (BIOKDD). Algorithms for Molecular Biology 2 (2007)
- [j16]Gürkan Bebek, Jiong Yang: PathFinder: mining signal transduction pathway segments from protein-protein interaction networks. BMC Bioinformatics 8 (2007)
- [c52]
- [c51]Shijie Zhang, Jiong Yang, VenuMadhav Cheedella: Monkey: Approximate Graph Mining Based on Spanning Trees. ICDE 2007: 1247-1249
- [c50]Ray-Yaung Chang, Andy Podgurski, Jiong Yang: Finding what's not there: a new approach to revealing neglected conditions in software. ISSTA 2007: 163-173
- 2006
- [j15]Bin Song, Jeong-Hyeon Choi, Guangyu Chen, Jacek Szymanski, Guo-Qiang Zhang, Anthony K. H. Tung, Jaewoo Kang, Sun Kim, Jiong Yang: ARCS: an aggregated related column scoring scheme for aligned sequences. Bioinformatics 22(19): 2326-2332 (2006)
- [j14]Zhuo Fang, Jiong Yang, Yixue Li, Qing-ming Luo, Lei Liu: Knowledge guided analysis of microarray data. : 401-411 (2006)
- [j13]Mohammed J. Zaki, George Karypis, Jiong Yang: BIOKDD06: data mining in Bioinformatics. SIGKDD Explorations 8(2): 78 (2006)
- [j12]Xiaoxin Yin, Jiawei Han, Jiong Yang, Philip S. Yu: Efficient Classification across Multiple Database Relations: A CrossMine Approach. IEEE Trans. Knowl. Data Eng. 18(6): 770-783 (2006)
- [c49]
- [c48]Mustafa Kirac, Gultekin Özsoyoglu, Jiong Yang: Annotating proteins by mining protein interaction networks. ISMB (Supplement of Bioinformatics) 2006: 260-270
- [c47]
- [e2]Mehmet M. Dalkilic, Sun Kim, Jiong Yang (Eds.): Data Mining and Bioinformatics, First International Workshop, VDMB 2006, Seoul, Korea, September 11, 2006, Revised Selected Papers. Lecture Notes in Computer Science 4316, Springer 2006, ISBN 3-540-68970-2
- 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
- [j11]Hwanjo Yu, Jiong Yang, Jiawei Han, Xiaolei Li: Making SVMs Scalable to Large Data Sets using Hierarchical Cluster Indexing. Data Min. Knowl. Discov. 11(3): 295-321 (2005)
- [j10]Meng Hu, Jiong Yang: A System of User-Guided Biological Literature Search Engine. IEEE Data Eng. Bull. 28(4): 47-52 (2005)
- [j9]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)
- [c46]Sun Kim, Jeong-Hyeon Choi, Jiong Yang: Gene Teams with Relaxed Proximity Constraint. CSB 2005: 44-55
- [c45]Jaewoo Kang, Jiong Yang, Wanhong Xu, Pankaj Chopra: Integrating Heterogeneous Microarray Data Sources Using Correlation Signatures. DILS 2005: 105-120
- [c44]Lei Liu, Jiong Yang, Anthony K. H. Tung: Data Mining Techniques for Microarray Datasets. ICDE 2005: 1149
- [c43]Feng Pan, Wei Wang, Anthony K. H. Tung, Jiong Yang: Finding Representative Set from Massive Data. ICDM 2005: 338-345
- [c42]Xiaoxin Yin, Jiawei Han, Jiong Yang: Searching for Related Objects in Relational Databases. SSDBM 2005: 227-236
- [p2]Wei Wang, Jiong Yang: Mining High-Dimensional Data. The Data Mining and Knowledge Discovery Handbook 2005: 793-799
- [p1]Peter Bajcsy, Jiawei Han, Lei Liu, Jiong Yang: Survey of Biodata Analysis from a Data Mining Perspective. Data Mining in Bioinformatics 2005: 9-39
- [e1]Wei Wang, Jiong Yang: Guest Editors' Introduction: Special Issue on Mining Biological Data. IEEE Trans. Knowl. Data Eng. 17(8): 1019-1020 (2005)
- 2004
- [j8]Jiong Yang, Wei Wang, Philip S. Yu: Mining Surprising Periodic Patterns. Data Min. Knowl. Discov. 9(2): 189-216 (2004)
- [j7]Wei Wang, Jiong Yang, Philip S. Yu: WAR: Weighted Association Rules for Item Intensities. Knowl. Inf. Syst. 6(2): 203-229 (2004)
- [j6]Jiong Yang, Wei Wang, Philip S. Yu: Discovering High-Order Periodic Patterns. Knowl. Inf. Syst. 6(3): 243-268 (2004)
- [c41]Xiaoxin Yin, Jiawei Han, Jiong Yang, Philip S. Yu: CrossMine: Efficient Classification Across Multiple Database Relations. Constraint-Based Mining and Inductive Databases 2004: 172-195
- [c40]
- [c39]
- [c38]Hui Fang, ChengXiang Zhai, Lei Liu, Jiong Yang: Subspace Clustering for Microarray Data Analysis: Multiple Criteria and Significance Assessment. CSB 2004: 582-583
- [c37]Xiaoxin Yin, Jiawei Han, Jiong Yang, Philip S. Yu: CrossMine: Efficient Classification Across Multiple Database Relations. ICDE 2004: 399-410
- [c36]
- [c35]
- [c34]
- [c33]
- [c32]Gao Cong, Anthony K. H. Tung, Xin Xu, Feng Pan, Jiong Yang: FARMER: Finding Interesting Rule Groups in Microarray Datasets. SIGMOD Conference 2004: 143-154
- [c31]Yifan Li, Jiong Yang, Jiawei Han: Continuous K-Nearest Neighbor Search for Moving Objects. SSDBM 2004: 123-126
- [c30]Jiong Yang, Wei Wang, Philip S. Yu: BASS: Approximate Search on Large String Databases. SSDBM 2004: 181-190
- 2003
- [j5]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)
- [j4]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)
- [c29]Jiong Yang, Haixun Wang, Wei Wang, Philip S. Yu: Enhanced Biclustering on Expression Data. BIBE 2003: 321-327
- [c28]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
- [c27]
- [c26]
- [c25]
- [c24]Hwanjo Yu, Jiong Yang, Jiawei Han: Classifying large data sets using SVMs with hierarchical clusters. KDD 2003: 306-315
- [c23]Feng Pan, Gao Cong, Anthony K. H. Tung, Jiong Yang, Mohammed Javeed Zaki: Carpenter: finding closed patterns in long biological datasets. KDD 2003: 637-642
- [c22]Jiong Yang, Wei Wang, Philip S. Yu: STAMP: On Discovery of Statistically Important Pattern Repeats in Long Sequential Data. SDM 2003
- 2002
- [c21]
- [c20]Jiong Yang, Wei Wang, Yi Xia, Philip S. Yu: Accelerating Approximate Subsequence Search on Large Protein Sequence Databases. CSB 2002: 207-
- [c19]
- [c18]Jiong Yang, Wei Wang, Haixun Wang, Philip S. Yu: delta-Clusters: Capturing Subspace Correlation in a Large Data Set. ICDE 2002: 517-528
- [c17]Jiong Yang, Wei Wang, Philip S. Yu: InfoMiner+: Mining Partial Periodic Patterns with Gap Penalties. ICDM 2002: 725-728
- [c16]Yi Xia, Wei Wang, Jiong Yang, Philip S. Yu, Richard R. Muntz: Efficient Filtering of Large DatasetA User-Centric Paradigm. SDM 2002
- [c15]Haixun Wang, Wei Wang, Jiong Yang, Philip S. Yu: Clustering by pattern similarity in large data sets. SIGMOD Conference 2002: 394-405
- [c14]Jiong Yang, Wei Wang, Philip S. Yu, Jiawei Han: Mining long sequential patterns in a noisy environment. SIGMOD Conference 2002: 406-417
- 2001
- [c13]Wei Wang, Jiong Yang, Richard R. Muntz: TAR: Temporal Association Rules on Evolving Numerical Attributes. ICDE 2001: 283-292
- [c12]Wei Wang, Jiong Yang, Philip S. Yu: Meta-patterns: Revealing Hidden Periodic Patterns. ICDM 2001: 550-557
- [c11]Jiong Yang, Wei Wang, Philip S. Yu: Infominer: mining surprising periodic patterns. KDD 2001: 395-400
- 2000
- [j3]Wei Wang, Jiong Yang, Philip S. Yu: Mining Patterns in Long Sequential Data with Noise. SIGKDD Explorations 2(2): 28-33 (2000)
- [j2]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)
- [j1]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)
- [c10]Jiong Yang, Wei Wang, Richard R. Muntz, Silvia Nittel: Dynamic Adaptive File Management in a Local Area Network. ICDCS 2000: 368-375
- [c9]Wei Wang, Jiong Yang, Philip S. Yu: Efficient mining of weighted association rules (WAR). KDD 2000: 270-274
- [c8]Jiong Yang, Wei Wang, Philip S. Yu: Mining asynchronous periodic patterns in time series data. KDD 2000: 275-279
- [c7]Jiong Yang, Wei Wang, Richard R. Muntz: Collaborative Web caching based on proxy affinities. SIGMETRICS 2000: 78-89
1990 – 1999
- 1999
- [c6]Wei Wang, Jiong Yang, Richard R. Muntz: STING+: An Approach to Active Spatial Data Mining. ICDE 1999: 116-125
- 1998
- [c5]Wei Wang, Jiong Yang, Richard R. Muntz: PK-tree: A Spatial Index Structure for High Dimensional Point Data. FODO 1998: 27-36
- [c4]Jiong Yang, Gil Neiger, Eli Gafni: Structured Derivations of Consensus Algorithms for Failure Detectors. PODC 1998: 297-306
- [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]Silvia Nittel, Jiong Yang, Richard R. Muntz: Mapping a Common Geoscientific Object Model to Heterogeneous Spatial Data Repositories. ACM-GIS 1996: 50-57
Coauthor Index
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last updated on 2013-10-02 10:57 CEST by the dblp team