Pang-Ning Tan

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2012
68A framework for joint community detection across multiple related networks. Prakash Mandayam Comar, Pang-Ning Tan, Anil K. Jain. Neurocomputing (76): 93-104 (2012). Web SearchBibTeXDownload
2011
67Smoothed Quantile Regression for Statistical Downscaling of Extreme Events in Climate Modeling. Zubin Abraham, Pang-Ning Tan, Fan Xin. CIDU 2011, 92-106. Web SearchBibTeXDownload
66LinkBoost: A Novel Cost-Sensitive Boosting Framework for Community-Level Network Link Prediction. Prakash Mandayam Comar, Pang-Ning Tan, Anil K. Jain. ICDM 2011, 131-140. Web SearchBibTeXDownload
65Detecting bots via incremental LS-SVM learning with dynamic feature adaptation. Feilong Chen, Supranamaya Ranjan, Pang-Ning Tan. KDD 2011, 386-394. Web SearchBibTeXDownload
64On ontology-driven document clustering using core semantic features. Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan. Knowl. Inf. Syst. (28): 395-421 (2011). Web SearchBibTeXDownload
2010
63Clustering Social Networks Using Distance-Preserving Subgraphs. Ronald Nussbaum, Abdol-Hossein Esfahanian, Pang-Ning Tan. ASONAM 2010, 380-385. Web SearchBibTeXDownload
62Multi task learning on multiple related networks. Prakash Mandayam Comar, Pang-Ning Tan, Anil Kumar Jain. CIKM 2010, 1737-1740. Web SearchBibTeXDownload
61Efficient Algorithm for Localized Support Vector Machine. Haibin Cheng, Pang-Ning Tan, Rong Jin. IEEE Trans. Knowl. Data Eng. (22): 537-549 (2010). Web SearchBibTeXDownload
60An Integrated Framework for Simultaneous Classification and Regression of Time-Series Data. Zubin Abraham, Pang-Ning Tan. SDM 2010, 653-664. Web SearchBibTeXDownload
59Constrained overlapping clusters: minimizing the negative effects of bridge-nodes. Jerry Scripps, Pang-Ning Tan. Statistical Analysis and Data Mining (3): 20-37 (2010). Web SearchBibTeXDownload
58Identifying Cohesive Subgroups and Their Correspondences in Multiple Related Networks. Prakash Mandayam Comar, Pang-Ning Tan, Anil Kumar Jain. Web Intelligence 2010, 476-483. Web SearchBibTeXDownload
57A Framework for Co-classification of Articles and Users in Wikipedia. Lei Liu, Pang-Ning Tan. Web Intelligence 2010, 212-215. Web SearchBibTeXDownload
2009
56A Matrix Alignment Approach for Collective Classification. Jerry Scripps, Pang-Ning Tan, Feilong Chen, Abdol-Hossein Esfahanian. ASONAM 2009, 155-159. Web SearchBibTeXDownload
55History-Based Email Prioritization. Ronald Nussbaum, Abdol-Hossein Esfahanian, Pang-Ning Tan. ASONAM 2009, 364-365. Web SearchBibTeXDownload
54A co-classification framework for detecting web spam and spammers in social media web sites. Feilong Chen, Pang-Ning Tan, Anil K. Jain. CIKM 2009, 1807-1810. Web SearchBibTeXDownload
53Neural Networks. Michael I. Jordan, Christopher M. Bishop. Encyclopedia of Database Systems 2009, 1906-1909. Web SearchBibTeXDownload
52Receiver Operating Characteristic. Pang-Ning Tan. Encyclopedia of Database Systems 2009, 2349-2352. Web SearchBibTeXDownload
51Pattern Preserving Clustering. Hui Xiong, Michael Steinbach, Pang-Ning Tan, Vipin Kumar, Wenjun Zhou. Encyclopedia of Data Warehousing and Mining 2009, 1505-1510. Web SearchBibTeXDownload
50A Semi-supervised Framework for Simultaneous Classification and Regression of Zero-Inflated Time Series Data with Application to Precipitation Prediction. Zubin Abraham, Pang-Ning Tan. ICDM Workshops 2009, 644-649. Web SearchBibTeXDownload
49Measuring the effects of preprocessing decisions and network forces in dynamic network analysis. Jerry Scripps, Pang-Ning Tan, Abdol-Hossein Esfahanian. KDD 2009, 747-756. Web SearchBibTeXDownload
48Combining statistics and semantics via ensemble model for document clustering. Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan. SAC 2009, 1446-1450. Web SearchBibTeXDownload
47Detection and Characterization of Anomalies in Multivariate Time Series. Haibin Cheng, Pang-Ning Tan, Christopher Potter, Steven A. Klooster. SDM 2009, 413-424. Web SearchBibTeXDownload
2008
46Data mining for visual exploration and detection of ecosystem disturbances. Haibin Cheng, Pang-Ning Tan, Christopher Potter, Steven A. Klooster. GIS 2008, 60. Web SearchBibTeXDownload
45Maximum Margin Active Learning for Sequence Labeling with Different Length. Haibin Cheng, Ruofei Zhang, Yefei Peng, Jianchang Mao, Pang-Ning Tan. ICDM 2008, 345-359. Web SearchBibTeXDownload
44A Robust Graph-Based Algorithm for Detection and Characterization of Anomalies in Noisy Multivariate Time Series. Haibin Cheng, Pang-Ning Tan, Christopher Potter, Steven A. Klooster. ICDM Workshops 2008, 349-358. Web SearchBibTeXDownload
43A matrix alignment approach for link prediction. Jerry Scripps, Pang-Ning Tan, Feilong Chen, Abdol-Hossein Esfahanian. ICPR 2008, 1-4. Web SearchBibTeXDownload
42Outrank: a Graph-Based Outlier Detection Framework Using Random Walk. H. D. K. Moonesinghe, Pang-Ning Tan. International Journal on Artificial Intelligence Tools (17): 19-36 (2008). Web SearchBibTeXDownload
41Semi-supervised learning with data calibration for long-term time series forecasting. Haibin Cheng, Pang-Ning Tan. KDD 2008, 133-141. Web SearchBibTeXDownload
40Link Mining for a Social Bookmarking Web Site. Feilong Chen, Jerry Scripps, Pang-Ning Tan. Web Intelligence 2008, 169-175. Web SearchBibTeXDownload
2007
39A Prototype-driven Framework for Change Detection in Data Stream Classification. Hamed Valizadegan, Pang-Ning Tan. CIDM 2007, 88-95. Web SearchBibTeXDownload
38Exploration of Link Structure and Community-Based Node Roles in Network Analysis. Jerry Scripps, Pang-Ning Tan, Abdol-Hossein Esfahanian. ICDM 2007, 649-654. Web SearchBibTeXDownload
37Recommendation via Query Centered Random Walk on K-Partite Graph. Haibin Cheng, Pang-Ning Tan, Jon Sticklen, William F. Punch. ICDM 2007, 457-462. Web SearchBibTeXDownload
36A Probabilistic Substructure-Based Approach for Graph Classification. H. D. K. Moonesinghe, Hamed Valizadegan, Samah Jamal Fodeh, Pang-Ning Tan. ICTAI (1) 2007, 346-349. Web SearchBibTeXDownload
35Incorporating Background Knowledge for Subjective Rule Evaluation. Samah Jamal Fodeh, Pang-Ning Tan. ICTAI (2) 2007, 148-155. Web SearchBibTeXDownload
34Localized Support Vector Machine and Its Efficient Algorithm. Haibin Cheng, Pang-Ning Tan, Rong Jin. SDM 2007. Web SearchBibTeXDownload
33Kernel Based Detection of Mislabeled Training Examples. Hamed Valizadegan, Pang-Ning Tan. SDM 2007. Web SearchBibTeXDownload
2006
32Hyperclique pattern discovery. Hui Xiong, Pang-Ning Tan, Vipin Kumar. Data Min. Knowl. Discov. (13): 219-242 (2006). Cited by 45Web SearchBibTeXDownload
31Frequent Closed Itemset Mining Using Prefix Graphs with an Efficient Flow-Based Pruning Strategy. H. D. K. Moonesinghe, Samah Jamal Fodeh, Pang-Ning Tan. ICDM 2006, 426-435. Web SearchBibTeXDownload
30Converting Output Scores from Outlier Detection Algorithms into Probability Estimates. Jing Gao, Pang-Ning Tan. ICDM 2006, 212-221. Web SearchBibTeXDownload
29Adaptively Routing P2P Queries Using Association Analysis. Brian D. Connelly, Christopher W. Bowron, Li Xiao, Pang-Ning Tan, Chen Wang. ICPP 2006, 281-288. Web SearchBibTeXDownload
28Outlier Detection Using Random Walks. H. D. K. Moonesinghe, Pang-Ning Tan. ICTAI 2006, 532-539. Web SearchBibTeXDownload
27TAPER: A Two-Step Approach for All-Strong-Pairs Correlation Query in Large Databases. Hui Xiong, Shashi Shekhar, Pang-Ning Tan, Vipin Kumar. IEEE Trans. Knowl. Data Eng. (18): 493-508 (2006). Cited by 11Web SearchBibTeXDownload
26Local Detection of Selfish Routing Behavior in Ad Hoc Networks. Bo Wang, Sohraab Soltani, Jonathan K. Shapiro, Pang-Ning Tan. Journal of Interconnection Networks (7): 133-146 (2006). Web SearchBibTeXDownload
25Multistep-Ahead Time Series Prediction. Haibin Cheng, Pang-Ning Tan, Jing Gao, Jerry Scripps. PAKDD 2006, 765-774. Web SearchBibTeXDownload
24Semi-supervised outlier detection. Jing Gao, Haibin Cheng, Pang-Ning Tan. SAC 2006, 635-636. Web SearchBibTeXDownload
23Semi-Supervised Clustering with Partial Background Information. Jing Gao, Pang-Ning Tan, Haibin Cheng. SDM 2006. Web SearchBibTeXDownload
22Clustering in the Presence of Bridge-Nodes. Jerry Scripps, Pang-Ning Tan. SDM 2006. Web SearchBibTeXDownload
21A Novel Framework for Incorporating Labeled Examples into Anomaly Detection. Jing Gao, Haibin Cheng, Pang-Ning Tan. SDM 2006. Web SearchBibTeXDownload
2005
20Local Detection of Selfish Routing Behavior in Ad Hoc Networks. Bo Wang, Sohraab Soltani, Jonathan K. Shapiro, Pang-Ning Tan. ISPAN 2005, 392-399. Web SearchBibTeXDownload
19An Incremental Data Stream Clustering Algorithm Based on Dense Units Detection. Jing Gao, Jianzhong Li, Zhaogong Zhang, Pang-Ning Tan. PAKDD 2005, 420-425. Web SearchBibTeXDownload
2004
18Mining interesting contrast rules for a web-based educational system. Behrouz Minaei-Bidgoli, Pang-Ning Tan, William F. Punch. ICMLA 2004, 320-327. Web SearchBibTeXDownload
17Selecting the right objective measure for association analysis. Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava. Inf. Syst. (29): 293-313 (2004). Cited by 111Web SearchBibTeXDownload
16Generalizing the notion of support. Michael Steinbach, Pang-Ning Tan, Hui Xiong, Vipin Kumar. KDD 2004, 689-694. Cited by 32Web SearchBibTeXDownload
15Exploiting a support-based upper bound of Pearson's correlation coefficient for efficiently identifying strongly correlated pairs. Hui Xiong, Shashi Shekhar, Pang-Ning Tan, Vipin Kumar. KDD 2004, 334-343. Web SearchBibTeXDownload
14Support envelopes: a technique for exploring the structure of association patterns. Michael Steinbach, Pang-Ning Tan, Vipin Kumar. KDD 2004, 296-305. Cited by 20Web SearchBibTeXDownload
13Ordering patterns by combining opinions from multiple sources. Pang-Ning Tan, Rong Jin. KDD 2004, 695-700. Web SearchBibTeXDownload
12HICAP: Hierarchical Clustering with Pattern Preservation. Hui Xiong, Michael Steinbach, Pang-Ning Tan, Vipin Kumar. SDM 2004. Cited by 26Web SearchBibTeXDownload
11RBA: An Integrated Framework for Regression based on Association Rules. Aysel Ozgur, Pang-Ning Tan, Vipin Kumar. SDM 2004. Cited by 6Web SearchBibTeXDownload
2003
10Mining Strong Affinity Association Patterns in Data Sets with Skewed Support Distribution. Hui Xiong, Pang-Ning Tan, Vipin Kumar. ICDM 2003, 387-394. Cited by 99Web SearchBibTeXDownload
9Discovery of climate indices using clustering. Michael Steinbach, Pang-Ning Tan, Vipin Kumar, Steven A. Klooster, Christopher Potter. KDD 2003, 446-455. Cited by 33Web SearchBibTeXDownload
2002
8Discovery of Web Robot Sessions Based on their Navigational Patterns. Pang-Ning Tan, Vipin Kumar. Data Min. Knowl. Discov. (6): 9-35 (2002). Cited by 122Web SearchBibTeXDownload
7Selecting the right interestingness measure for association patterns. Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava. KDD 2002, 32-41. Cited by 402Web SearchBibTeXDownload
6High Performance Data Mining. Vipin Kumar, Jaideep Srivastava, Eui-Hong Han, Pang-Ning Tan, Michael Steinbach. VECPAR 2002, 111-125. Cited by 9Web SearchBibTeXDownload
2001
5Mining Indirect Associations in Web Data. Pang-Ning Tan, Vipin Kumar. WEBKDD 2001, 145-166. Cited by 28Web SearchBibTeXDownload
2000
4Textual data mining of service center call records. Pang-Ning Tan, Hannah Blau, Steven A. Harp, Robert P. Goldman. KDD 2000, 417-423. Web SearchBibTeXDownload
3Indirect Association: Mining Higher Order Dependencies in Data. Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava. PKDD 2000, 632-637. Cited by 36Web SearchBibTeXDownload
2Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data. Jaideep Srivastava, Robert Cooley, Mukund Deshpande, Pang-Ning Tan. SIGKDD Explorations (1): 12-23 (2000). Web SearchBibTeXDownload
1999
1Discovery of Interesting Usage Patterns from Web Data. Robert Cooley, Pang-Ning Tan, Jaideep Srivastava. WEBKDD 1999, 163-182. Web SearchBibTeXDownload
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References
1. ^ KDD 2009: Research Track Program Committee - Retrieved 2009-11-21 - details
2. ^ KDD 2008: Research Track Program Committee - Retrieved 2009-11-21 - details
3. ^ KDD 2007 Conference - Organizers Page - Retrieved 2009-11-21 - details
4. ^ Parallel Processing Seminars : Spring 2003 Schedule - Retrieved 2009-11-20 - details
5. ^ Dr. Pang-Ning Tan : Measures of Association for Data Mining Applications - Retrieved 2010-06-12 - details
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