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)