For a more complete list, go to Google scholar and DBLP. Below is a list of my older publications.

2016

• Jianpeng Xu, Jiayu Zhou, Pang-Ning Tan, Xi Liu and Lifeng Luo. WISDOM: Weighted Incremental Spatio-Temporal Multi-Task Learning via Tensor Decomposition. In Proceedings of IEEE International Conference on Big Data, Washington, DC (2016).
  
  
• Jianpeng Xu, Pang-Ning Tan, Lifeng Luo, and Jiayu Zhou. GSpartan: a GeoSpatio-Temporal Multi-task Learning Framework for Multi-location prediction. In Proceedings of SIAM International Conference on Data Mining (SDM-2016), Miami, FL (2016).
  
  
• Jianpeng Xu, Jiayu Zhou, Pang-Ning Tan, and Kaixiang Lin. Synergies that Matter: Efficient Interaction Selection via Sparse Factorization Machine. In Proceedings of SIAM International Conference on Data Mining (SDM-2016), Miami, FL (2016).
  
  
• Ding Wang, Prakash Mandayam Comar, and Pang-Ning Tan. Crowdsourcing of Network Data In Proceedings of IEEE International Joint Conference on Neural Networks (IJCNN- 2016), Vancouver, Canada (2016).
  
  
• Courtland VanDam and Pang-Ning Tan. Hashtag Hijacking from Twitter Data. In Proceedings of ACM Web Science Conference (WebSci-2016), Hanover, Germany (2016).
  
  
• Xi Liu, Han Hee Song, Mario Baldi, and Pang-Ning Tan. Macro-scale Mobile App Market Analysis using Customized Hierarchical Categorization. In Proceedings of IEEE International Conference on Computer Communications (INFOCOM-2016), San Francisco, CA (2016).
  
  

2015

• Xi Liu, Han Hee Song, Mario Baldi, and Pang-Ning Tan. Macro-scale Mobile App Market Analysis using Customized Hierarchical Categorization. In Proceedings of IEEE International Conference on Computer Communications (INFOCOM-2016), San Francisco,$
  
  
• Shuai Yuan, Pang-Ning Tan, Kendra Cheruvelil, Sarah Collins, and Patricia Soranno. Constrained Spectral Clustering for Regionalization: Exploring the Trade-off between Spatial Contiguity and Landscape Homogeneity. In Proceedings of the 2015 IEEE Int'l Conf on Data Science and Advanced Analytics, Special Session on Environmental and Geo-spatial Data Analytics, Paris, France (2015).
  
  
• Lei Liu, Pang-Ning Tan, and Xi Liu. MF-Tree: Matrix Factorization Tree for Large Multi-Class Learning. In Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM-2015), Melbourne, Australia (2015).
  
  
• Jianpeng Xu, Jiayu Zhou, and Pang-Ning Tan. FORMULA: Factorized Multi-task Learning for task discovery in personalized medical models. In Proceedings of SIAM International Conference on Data Mining (SDM-2105), Vancouver, Canada (2015).
  
  
• Patricia A Soranno, Edward G Bissell, Kendra S Cheruvelil, Samuel T Christel, Sarah M Collins, C Emi Fergus, Christopher T Filstrup, Jean-Francois Lapierre, Noah R Lottig, Samantha K Oliver, Caren E Scott, Nicole J Smith, Scott Stopyak, Shuai Yuan, Mary Tate Bremigan, John A Downing, Corinna Gries, Emily N Henry, Nick K Skaff, Emily H Stanley, Craig A Stow, Pang-Ning Tan, Tyler Wagner, and Katherine E Webster. Building a multi-scaled geospatial temporal ecology database from disparate data sources: fostering open science and data reuse. GigaScience, 4(1): 1-15 (2015).
  
  

2014

• Jianpeng Xu, Pang-Ning Tan, and Lifeng Luo. ORION: Online Regularized multI-task regressiON and its application to ensemble forecasting. In Proceedings of the IEEE International Conference on Data Mining (ICDM-2014), Shenzhen, China, December 14-17 (2014).
  
  
• Zubin Abraham, Pang-Ning Tan, Perdinan, Julie Winkler, Shiyuan Zhong, Malgorzata Liszewska. Contour Regression: A Distribution Regularized Regression Framework for Climate Modeling. Statistical Analysis and Data Mining, 7(4): 272-281 (2014).
  
  
• Lei Liu, Sabyasachi Saha, Ruben Torres, Jianpeng Xu, Pang-Ning Tan, Antonio Nucci, and Marco Mellia. Detecting Malicious Clients in ISP Network Using HTTP Connectivity Graph and Flow Information. In Proceedings of the IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM 2014), Beijing, China, August 17-20 (2014).
  
  

2013

• Zubin Abraham, Pang-Ning Tan, Perdinan, Julie Winkler, Shiyuan Zhong, Malgorzata Liszewska. Position-Preserving Multi-Output Prediction. In Proceedings of the European Conference on Machine Learning (ECML-2013), Prague, Czech Republic, September 2$ (2013).
  
  
• Prakash Mandayam Comar, Lei Liu, Sabyasachi Saha, Pang-Ning Tan, and Antonio Nucci Missing or Inapplicable: Treatment of incomplete continuous-valued features in supervised learning. In Proceedings of the SIAM International Conference on Data Mining (SDM-2013), Austin, Texas (2013).
  
  
• Zubin Abraham, Pang-Ning Tan, Perdinan, Julie Winkler, Shiyuan Zhong, and Malgorzata Liszewska. Distribution Regularized Regression Framework for Climate Modeling. In Proceedings of the SIAM International Conference on Data Mining (SDM-2013), Austin, Texas (2013).
  
  
• Prakash Mandayam Comar, Lei Liu, Sabyasachi Saha, Pang-Ning Tan, and Antonio Nucci, Combining Supervised and Unsupervised Learning for Zero-Day Malware Detection. In Proceedings of 32nd IEEE International Conference on Computer Communications$ 2013), Turin, Italy, April 14-19 (2013).
  
  

2012

• Prakash Mandayam Comar, Lei Liu, Sabyasachi Saha, Pang-Ning Tan, and Antonio Nucci, Weighted Linear Kernel with Tree Transformed Features For Malware Detection In Proceedings of the 21st ACM International Conference on Information and Knowledge Management (CIKM 2012), Maui, Hawaii, October 29 - November 2 (2012).
  
  
• Lei Liu, Prakash Mandayam Comar, Sabyasachi Saha, Pang-Ning Tan, and Antonio Nucci, Recursive NMF: Efficient Label Tree Learning for Large Multi-Class Problems In Proceedings of the 21st International Conference on Pattern Recognition (ICPR-2012), Tsukuba, $ November 11 - 16 (2012).
  
  
• Prakash Mandayam-Comar, Pang-Ning Tan, and Anil K. Jain. A Framework for Joint Community Detection Across Multiple Related Networks, Neurocomputing, 76(1), pp 93-104 (2012).
  
  
• Prakash Mandayam-Comar, Pang-Ning Tan, and Anil K. Jain. Simultaneous Classification and Community Detection on Heterogeneous Network Data, Data Mining and Knowledge Discovery, 25(3), pp. 420-449 (2012)
  
  

2011

• Prakash Mandayam-Comar, Pang-Ning Tan, and Anil K Jain, LinkBoost: A Novel Cost-Sensitive Boosting Framework for Community-Level Network Link Prediction, Proceedings of IEEE International Conference on Data Mining (ICDM 2011), Vancouver, Canada, December 11-14 (2011).
  
  
• Zubin Abraham, Fan Xin, and Pang-Ning Tan Smoothed Quantile Regression for Statistical Downscaling of Extreme Events in Climate Modeling, Proceedings of NASA Conference on Intelligent Data Understanding (CIDU 2011), Mountain View, California, October 19-21 (2011).
  
  
• Feilong Chen, Supranamaya Ranjan, and Pang-Ning Tan Detecting bots via Incremental LS-SVM Learning with Dynamic Feature Adaptation, Proceedings of ACM SIGKDD International Conference on Data Mining (KDD 2011), San Diego, California, August 21-24 (2011).
  
  
• Samah Fodeh, William F Punch, and Pang-Ning Tan. On Ontology-Driven Document Clustering Using Core Semantic Features, Knowledge and Information Systems journal, 28(2), 395-421 (2011).
  
  
• Julie Winkler, Galina Guentchev, Perdinan, Pang-Ning Tan, Sharon Zhong, Malgorzata Liszweska, Zubin Abraham, Tadeusz Niedzwiedz, and Zbigniew Ustrnul. Climate scenario development and applications for local/regional climate change impact assessments: An overview for the non-climate scientist. Part I: Scenario development using downscaling methods, Geography Compass, 5(6): 275-300, June (2011).
  
  
• Julie Winkler, Galina Guentchev, Malgorzata Liszweska, Perdinan, and Pang-Ning Tan. Climate scenario development and applications for local/regional climate change impact assessments: An overview for the non-climate scientist. Part II: Considerations when using climate change scenarios, Geography Compass, 5(6): 301-328, June (2011).
  
  

2010

• Pang-Ning Tan, Feilong Chen, and Anil K Jain. Information Assurance: Detection of Web Spam Attacks in Social Media, Proceedings of the 27th Army Science Conference, Orlando, Florida (2010).
  
  
• Prakash Mandayam, Pang-Ning Tan, and Anil K Jain. Multi-task Learning on Multiple Related Networks, Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM 2010), Toronto, Canada (2010).
  
  
• Prakash Mandayam, Pang-Ning Tan, and Anil K Jain. Identifying Cohesive Subgroups and their Correspondences in Multiple Related Networks, Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence (WI-2010), Toronto, Canada (2010).
  
  
• Liu Lei and Pang-Ning Tan. A Framework for Co-Classification of Articles and Users in Wikipedia , Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence (WI-2010), Toronto, Canada (2010).
  
  
• Ronald Nussbaum, Abdol-Hossein Esfahanian, and Pang-Ning Tan. Clustering Social Networks Using Distance-preserving Subgraphs, Proceedings of 2010 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2010), Odense, Denmark (2010).
  
  
• Zubin Abraham and Pang-Ning Tan. An Integrated Framework for Simultaneous Classification and Regression of Time Series Data, Proceedings of SIAM International Conference on Data Mining (SDM-2010), Columbus, Ohio (2010).
  
  
• Haibin Cheng, Pang-Ning Tan, and Rong Jin. Efficient Algorithm for Localized Support Vector Machine, IEEE Transactions on Knowledge and Data Engineering, 22(4): 537-549, April (2010).
  
  
• Jerry Scripps and Pang-Ning Tan, Constrained overlapping clusters: minimizing the negative effects of bridge-nodes, Statistical Analysis and Data Mining, 3(1): 20 - 37 (2010)
  
  
• Julie A. Winkler, Suzanne Thornsbury, Marco Artavio, Frank Chmielewski, Dieter Kirschke, Sangjun Lee, Malgorzata Liszewska, Scott Loveridge, Pang-Ning Tan, Sharon Zhong, Jeffrey A. Andresen, J. Roy Black, Robert Kurlus, Denys Nizalov, Nicole Olynk, Zbigniew Ustrnul, Costanza Zavalloni, Jeanne M. Bisanz, Géza Bujdosó, Lesley Fusina, Yvonne Henniges, Peter Hilsendegen, Katarzyna Lar, Lukasz Malarzewski, Thordis Moeller, Roman Murmylo, Tadeusz Niedzwiedz, Olena Nizalova, Haryono Prawiranata, Nikki Rothwell, Jenni van Ravensay, Harald von Witzke, and Mollie Woods Multi-Regional Climate Change Assessments for International Market Systems with Long-Term Investments: A Conceptual Framework, Climatic Change, 103(3): 445-470 (2010).
  
  

2009

• Feilong Chen, Pang-Ning Tan, and Anil Jain. A Co-classification Framework for Detecting Web Spam and Spammers in Social Media Web Sites, Proc of ACM Conference on Information and Knowledge Management (CIKM-2009), Hong Kong (2009)
  
  
• Pang-Ning Tan, Feilong Chen, and Anil Jain. Web Spam in Social Media: A Case pf Misinformation in Networks , Workshop on Information in Networks, New York (2009)
  
  
• Jerry Scripps, Pang-Ning Tan, and Abdol-Hossein Esfahanian. Measuring the Effects of Preprocessing Decisions and Network Forces in Dynamic Network Analysis, Proc of ACM SIGKDD International Conference on Data Mining (KDD-2009), Paris, France (2009)
  
  
• Jerry Scripps, Pang-Ning Tan, and Abdol-Hossein Esfahanian. A Matrix Alignment Approach for Collective Classification, Proc of the 2009 International Conference on Advances in Social Networks Analysis and Mining, Athens, Greece (2009)
  
  
• Ronald Nussbaum, Abdol-Hossein Esfahanian, and Pang-Ning Tan History-Based Email Prioritization, Proc of the 2009 International Conference on Advances in Social Networks Analysis and Mining, Athens, Greece (2009)
  
  
• Haibin Cheng, Pang-Ning Tan, Christopher Potter, and Steve Klooster. Detection and Characterization of Anomalies in Multivariate Time Series, Proc of the SIAM International Conference on Data Mining (SDM-2009), Sparks, Nevada (2009).
  
  
• Samah Fodeh, William F Punch, and Pang-Ning Tan. Cimbining Statistics and Semantics via Ensemble Model for Document Clustering Proc of the 24th Annual ACM Symposium on Applied Computing (Special Track on Data Mining), Honolulu, Hawaii, March 8-12 (2009).
  
  

2008

• Feilong Chen, Jerry Scripps, and Pang-Ning Tan. Link Mining for a Social Bookmarking Web Site, In Proc of IEEE/WIC/ACM International Conference on Web Intelligence (WI-2008), Sydney, Australia (2008)
  
  
• Haibin Cheng, Pang-Ning Tan, Christopher Potter, Steve Klooster. Data Mining for Visual Exploration and Detection of Ecosystem Disturbaces, In Proc of 16th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM GIS), Irvine, CA (2008).
  
  
• Haibin Cheng and Pang-Ning Tan. Semi-supervised Learning with Data Calibration for Long-Term Time Series Forecasting, In Proc of the ACM SIGKDD International Conference on Data Mining (KDD-2008), Lake Las Vegas, Nevada (2008).
  
  
• Jerry Scripps, Pang-Ning Tan, Feilong Chen, and Abdol-Hossein Esfahanian. A Matrix Alignment Approach for Link Prediction, In Proc of the 19th Int'l Conf on Pattern Recognition (ICPR-08), Tampa, Florida (2008)
  
  
• Haibin Cheng, Ruofei Zhang, Yefei Peng, Jianchang Mao and Pang-Ning Tan. Maximum Margin Active Learning for Sequence Labeling with Different Length Advances in Data Mining. Medical Applications, E-Commerce, Marketing, and Theoretical Aspects, Lecture Notes in Computer Science, Vol. 5077, Springer (2008).
  
  
• Kapila Moonesinghe and Pang-Ning Tan OutRank: A Graph-based Outlier Detection Framework using Random Walk International Journal on Artificial Intelligence Tools (IJAIT) (2008).
  
  

2007 and Earlier

• Haibin Cheng, Pang-Ning Tan, Jon Sticklen, and William F. Punch Recommendation via Query Centered Random Walk on K-partite Graph, Proc of IEEE Int'l Conf. on Data Mining (ICDM-07), Omaha, Nebraska, Oct 28-31 (2007)
  
  
• Jerry Scripps, Pang-Ning Tan, and Abdol-Hossein Esfahanian Exploring the Link Structure and Community-based Node Roles in Networked Data, Proc of IEEE Int'l Conf. on Data Mining (ICDM-07), Omaha, Nebraska, Oct 28-31 (2007)
  
  
• Samah Fodeh and Pang-Ning Tan Incorporating Background Knowledge for Subjective Rule Evaluation, Proc of IEEE Int'l Conf on Tools with Artificial Intelligence (ICTAI-07), Patras, Greece, October 29-31 (2007).
  
  
• Kapila Moonesinghe, Hamed Valizadegan, Samah Fodeh, and Pang-Ning Tan A Probabilistic Substructure-Based Approach for Graph Classification, Proc of IEEE Int'l Conf on Tools with Artificial Intelligence (ICTAI-07), Patras, Greece, October 29-31 (2007).
  
  
• Hamed Valizadegan and Pang-Ning Tan, Kernel Based Detection of Mislabeled Training Examples, Proc of SIAM Int'l Conf. on Data Mining, Minneapolis, April 26-28 (2007).
  
  
• Haibin Cheng, Pang-Ning Tan, and Rong Jin , Localized Support Vector Machine and Its Efficient Algorithm, Proc of SIAM Int'l Conf. on Data Mining, Minneapolis, April 26-28 (2007).
  
  
• Hamed Valizadegan and Pang-Ning Tan, A Prototype-driven Framework for Change Detection in Data Stream Classification, Proc of IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2007), Hawaii, April 1-5 (2007).
  
  
• Hui Xiong, Michael Steinbach, Pang-Ning Tan, Vipin Kumar Pattern Preserving Clustering, John Wang (editor), Encyclopedia of Data Warehousing and Mining (2007)
  
  
• Samah Fodeh and Pang-Ning Tan Incorporating Background Knowledge from the World Wide Web Using the Minimum Discriminative Information Principle, Proc of KDD 2007 Workshop on Minining Multiple Information Sources, August 12-15 (2007).
  
  
• Jerry Scripps, Pang-Ning Tan, and Abdol-Hossein Esfahanian Node Roles and Community Structure in Networks, KDD 2007 Workshop on Web Mining and Social Network Analysis, August 12-15 (2007).
  
  
• H.D.K. Moonesinghe, Samah Fodeh, and Pang-Ning Tan, Frequent Closed Itemset Mining using Prefix Graphs with an Efficient Flow-Based Pruning Strategy, Proc of IEEE Int'l Conf on Data Mining (ICDM-06), Hong Kong (2006).
  
  
• Jing Gao and Pang-Ning Tan, Converting Output Scores from Outlier Detection Algorithms into Probability Estimates, Proc of IEEE Int'l Conf on Data Mining (ICDM-06), Hong Kong (2006).
  
  
• H.D.K. Moonesinghe and Pang-Ning Tan, Outlier Detection using Random Walk, Proc of IEEE Int'l Conf on Tools with Artificial Intelligence (ICTAI-06), Washington, D.C. (2006).
  
  
• Brian Connelly, Christopher Bowron, Li Xiao, Pang-Ning Tan, and Chen Wang, Adaptively Routing P2P Queries using Association Analysis, Proc of 2006 Int'l Conf on Parallel Processing (ICPP 2006), Columbus, Ohio (2006).
  
  
• Jerry Scripps and Pang-Ning Tan, Clustering in the Presence of Bridge-Nodes, Proc of SDM'06: SIAM Int'l Conf on Data Mining, Bethesda, MD (2006).
  
  
• Jing Gao, Pang-Ning Tan, and Haibin Cheng, Semi-supervised Clustering with Partial Background Information, Proc of SDM'06: SIAM Int'l Conf on Data Mining, Bethesda, MD (2006).
  
  
• Jing Gao, Haibin Cheng, and Pang-Ning Tan, A Novel Framework for Incorporating Labeled Examples into Anomaly Detection, Proc of SDM'06: SIAM Int'l Conf on Data Mining, Bethesda, MD (2006).
  
  
• Haibin Cheng, Pang-Ning Tan, Jing Gao, and Jerry Scripps Multi-step Ahead Time Series Prediction, Proc of the Tenth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'06), Singapore (2006).
  
  
• Jing Gao, Haibin Cheng, and Pang-Ning Tan, Semi-supervised Outlier Detection (Extended Abstract), Proc of the ACM Symposium on Applied Computing (Special Track on Data Mining), Dijon, France (2006).
  
  
• Hui Xiong, Pang-Ning Tan, Vipin Kumar Hyperclique Pattern Discovery Data Mining and Knowledge Discovery, 13(2), 219-242, September (2006).
  
  
• Hui Xiong, Shashi Shekhar, Pang-Ning Tan, Vipin Kumar Exploiting a Support-based Upper Bound of Pearson's Correlation Coefficient for Efficiently Identifying Strongly Correlated Pairs IEEE Transactions on Knowledge and Data Engineering, 18(4), April (2006).
  
  
• Bo Wang, Sohraab Soltanis, Jonathan Shapiro, and Pang-Ning Tan Local Detection of Selfish Routing Behavior in Ad Hoc Networks Journal of Interconnection Networks, 7(1), 133-146 (2006).
  
  
• Pang-Ning Tan Knowledge Discovery from Sensor Data Sensors Magazine (Cover story), March (2006).
  
  
• Pang-Ning Tan, Michael Steinbach, and Vipin Kumar Introduction to Data Mining Addison-Wesley (2005).
  
  
• Jing Gao, Jianzhong Li, Zhaogong Zhang and Pang-Ning Tan, An Incremental Data Stream Clustering Algorithm Based on Dense Units Detection, Proc of the Ninth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'05), Hanoi, May 18-20 (2005).
  
  
• Jing Gao, Pang-Ning Tan, and Haibin Cheng Semi-supervised Clustering with Partial Background Information, Proc of 1st Int'l Workshop on Mining Complex Data (MCD'05), Houston, Texas (2005).
  
  
• Haibin Cheng, Pang-Ning Tan, Jing Gao, and Jerry Scripps, An Empirical Study on Multistep-ahead Time Series Prediction, Proc of ICDM 2005 Workshop on Temporal Data Mining: Algorithms, Theory, and Applications (TDM 2005), Houston, Texas (2005).
  
  
• H.D.K Moonesinghe, Pang-Ning Tan, Moon-Jung Chung, and Ming Wu, Parallel Mining of Sequential Patterns Using an Efficient Task Partitioning Approach, 8th Int'l Workshop on High Performance and Distributed Mining (HPDM'05), Newport Beach, CA, April 23 (2005).
  
  
• Christopher Potter, Pang-Ning Tan, Vipin Kumar, Christopher Kucharik, Steven Klooster, Vanessa Genovese, Warren Cohen, Sean Healey Recent History of Large-Scale Ecosystem Disturbances in North America Derived from the AVHRR Satellite Record, Ecosystems, 8(7), 808-824 (2005).
  
  
• Pang-Ning Tan, Rong Jin, Ordering Patterns by Combining Opinions from Multiple Sources, Proc of the Tenth ACM SIGKDD Int'l Conf on Knowledge Discovery and Data Mining (KDD-2004), Seattle, WA, Aug 22-25 (2004). (A longer version of the paper is available as Technical report MSU-CSE-04-35)
  
  
• Michael Steinbach, Pang-Ning Tan, Vipin Kumar, Support Envelopes: A Technique for Exploring the Structure of Association Patterns, Proc of the Tenth ACM SIGKDD Int'l Conf on Knowledge Discovery and Data Mining (KDD-2004), Seattle, WA, Aug 22-25 (2004).
  
  
• Michael Steinbach, Pang-Ning Tan, Hui Xiong, Vipin Kumar, Extending the Notion of Support, Proc of the Tenth ACM SIGKDD Int'l Conf on Knowledge Discovery and Data Mining (KDD-2004), Seattle, WA, Aug 22-25 (2004).
  
  
• Hui Xiong, Shashi Shekhar, Pang-Ning Tan, Vipin Kumar, Exploiting a Support-based Upper Bound of Pearson's Correlation Coefficient for Efficiently Identifying Strongly Correlated Pairs, Proc of the Tenth ACM SIGKDD Int'l Conf on Knowledge Discovery and Data Mining (KDD-2004), Seattle, WA, Aug 22-25 (2004).
  
  
• Behrouz Minaei-Bidgoli, Pang-Ning Tan, and William F. Punch, Mining Interesting Contrast Rules for a Web-based Educational System, Proc of the 2004 Int'l Conf on Machine Learning and Applications (ICMLA'04), Louisville, KY, Dec 16-18 (2004).
  
  
• Aysel Ozgur, Pang-Ning Tan, Vipin Kumar, RBA: An Integrated Framework for Regression based on Association Rules, Proc. of SDM'04: SIAM Int'l Conf. on Data Mining (2004).
  
  
• Hui Xiong, Michael Steinbach, Pang-Ning Tan, Vipin Kumar, HICAP: Hierarchial Clustering with Pattern Preservation, Proc. of SDM'04: SIAM Int'l Conf. on Data Mining (2004).
  
  
• Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava, Selecting the Right Objective Measure for Association Analysis Information Systems, 29(4), 293-313 (2004).
  
  
• Hui Xiong, Pang-Ning Tan, Vipin Kumar, Mining Strong Affinity Association Patterns in Data Sets with Skewed Support Distribution, Proc of the Third IEEE Int'l Conf on Data Mining (ICDM'03), Melbourne, Florida, Nov 19-22 (2003).
  
  
• Levent Ertoz, Eric Eilertson, Aleksandar Lazarevic, Pang-Ning Tan, Paul Dokas, Vipin Kumar, Jaideep Srivastava, Detection of Novel Network Attacks Using Data Mining. In ICDM Workshop on Data Mining for Computer Security (DMSEC), Melbourne, FL, Nov 19 (2003).
  
  
• Michael Steinbach, Pang-Ning Tan, Vipin Kumar, Steve Klooster, Christopher Potter, Discovery of Climate Indices using Clustering, Proc of the Ninth ACM SIGKDD Int'l Conf on Knowledge Discovery and Data Mining (KDD-2003), Washington, DC, Aug 24-27 (2003).
  
  
• Levent Ertoz, Aleksandar Lazarevic, Eric Eilertson, Pang-Ning Tan, Paul Dokas,Vipin Kumar, Jaideep Srivastava, Protecting Against Cyber Threats in Networked Information Systems. In SPIE Annual Symposium on AeroSense, Battlespace Digitization and Network Centric Systems III, Orlando, FL (2003).
  
  
• Aleksandar Lazarevic, Paul Dokas, Levent Ertoz, Vipin Kumar, Jaideep Srivastava, Pang-Ning Tan, Cyber Threat Analysis - A Key Enabling Technology for the Objective Force (A Case Study in Network Intrusion Detection). In Proc of 23rd Army Science Conference, Orlando, December (2002).
  
  
• Paul Dokas, Levent Ertoz, Vipin Kumar, Aleksandar Lazarevic, Jaideep Srivastava, Pang-Ning Tan, Data Mining for Network Intrusion Detection. Proc of NSF Workshop on Next Generation Data Mining, Nov 1-3 (2002).
  
  
• Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava, Selecting the Right Interestingness Measure for Association Patterns . In Proc of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2002), Edmonton, Alberta, 32-41 (2002).
  
  
• Michael Steinbach, Pang-Ning Tan, Vipin Kumar, Christopher Potter, Steven Klooster, Temporal Data Mining for the Discovery and Analysis of Ocean Climate Indices, KDD 2002 Workshop on Temporal Data Mining (2002).
  
  
• Michael Steinbach, Pang-Ning Tan, Vipin Kumar, Christopher Potter, Steven Klooster, Data Mining for the Discovery of Ocean Climate Indices, SDM 2002 Fifth Workshop on Mining Scientific Datasets (2002).
  
  
• Pang-Ning Tan, Vipin Kumar, Mining Indirect Associations in Web Data, WebKDD 2001: Mining Log Data Across All Customer TouchPoints, August (2001).
  
  
• Pang-Ning Tan, Michael Steinbach, Vipin Kumar, Christopher Potter, Steven Klooster, Alicia Torregrosa, Finding Spatio-Temporal Patterns in Earth Science Data, KDD 2001 Workshop on Temporal Data Mining August (2001).
  
  
• Michael Steinbach, Pang-Ning Tan, Vipin Kumar, Christopher Potter, Steven Klooster, Alicia Torregrosa, Clustering Earth Science Data: Goals, Issues and Results, KDD 2001 Workshop on Mining Scientific Datasets August (2001).
  
  
• Pang-Ning Tan, Vipin Kumar, Harumi Kuno, Using SAS for Mining Indirect Associations in Data, In Proc of the Western Users of SAS Software Conference (2001) ( WUSS 2001 Best Contributed Paper in Application Development)
  
  
• Pang-Ning Tan, Hannah Blau, Steve Harp, Robert Goldman, Textual Data Mining of Service Center Call Records, In Proc of the 6th ACM SIGKDD Int'l Conf on Knowledge Discovery and Data Mining (KDD-2000), Boston, MA, August 20-23, 417-423 (2000)
  
  
• Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava, Indirect Association : Mining Higher Order Dependencies in Data, In Proc of the 4th European Conference on Principles and Practice of Knowledge Discovery in Databases, Lyon, France, Sept 13-16, 632-637 (2000)
  
  
• Pang-Ning Tan, Vipin Kumar, Modeling of Web Robot Navigational Patterns, WebKDD 2000: Web Mining for E-Commerce, Boston, MA, August 20 (2000).
  
  
• Pang-Ning Tan, Vipin Kumar, Interestingness Measures for Association Patterns : A Perspective, KDD'2000 Workshop on Postprocessing in Machine Learning and Data Mining, Boston, MA, August 20 (2000)
  
  
• Robert Cooley, Pang-Ning Tan, Jaideep Srivastava, WebSIFT: The Web Site Information Filter System, In Proc of the Web Usage Analysis and User Profiling Workshop, San Diego, CA, August 15 (1999)
• Christopher Potter, Steven Klooster, Michael Steinbach, Pang-Ning Tan, Vipin Kumar, Shashi Shekhar, CJR Carvalho, Understanding Global Teleconnections of Climate to Regional Model Estimates of Amazon Ecosystem Carbon Fluxes accepted by Global Change Biology (2003).
  
  
• Christopher Potter, Steven Klooster, Michael Steinbach, Pang-Ning Tan, Vipin Kumar, Ranga Myneni, Vanessa Genovese, Variability in Terrestrial Carbon Sinks Over Two Decades: Part 1 - North America accepted by Earth Interactions (2003).
  
  
• Christopher Potter, Steven Klooster, Michael Steinbach, Pang-Ning Tan, Vipin Kumar, Shashi Shekhar, Ranga Myneni, Ramakrishna Nemani, Global Teleconnections of Ocean Climate to Terrestrial Carbon Flux, J. Geophysical Research, 108(D17), 4556, September (2003).
  
  
• Christopher Potter, Pang-Ning Tan, Michael Steinbach, Steven Klooster, Vipin Kumar, Ranga Myneni, Vanessa Genovese, Major Disturbance Events in Terrestrial Ecosystems Detected using Global Satellite Data Sets, Global Change Biology, 9(7), 1005-1021 (2003).
  
  
• Christopher Potter, Steven Klooster, Ranga Myneni, Vanessa Genovese, Pang-Ning Tan, Vipin Kumar, Continental scale comparisons of terrestrial carbon sinks estimated from satellite data and ecosystem modeling 1982-98, Global and Planetary Change, 39, 201-213 (2003).
  
  
• Pang-Ning Tan, Vipin Kumar, Discovery of Web Robot Sessions based on their Navigational Patterns, Data Mining and Knowledge Discovery, 6(1): 9-35 (2002)
  
  
• Jaideep Srivastava,Robert Cooley, Mukund Deshpande,Pang-Ning Tan, Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data, SIGKDD Explorations, 1(2): 12-23 (2000)