| 2009 |
| 47 | EE | Samah Jamal Fodeh,
William F. Punch,
Pang-Ning Tan:
Combining statistics and semantics via ensemble model for document clustering.
SAC 2009: 1446-1450 |
| 2008 |
| 46 | EE | Haibin Cheng,
Pang-Ning Tan,
Christopher Potter,
Steven A. Klooster:
Data mining for visual exploration and detection of ecosystem disturbances.
GIS 2008: 60 |
| 45 | EE | Haibin Cheng,
Ruofei Zhang,
Yefei Peng,
Jianchang Mao,
Pang-Ning Tan:
Maximum Margin Active Learning for Sequence Labeling with Different Length.
ICDM 2008: 345-359 |
| 44 | EE | Haibin Cheng,
Pang-Ning Tan,
Christopher Potter,
Steven A. Klooster:
A Robust Graph-Based Algorithm for Detection and Characterization of Anomalies in Noisy Multivariate Time Series.
ICDM Workshops 2008: 349-358 |
| 43 | EE | Jerry Scripps,
Pang-Ning Tan,
Feilong Chen,
Abdol-Hossein Esfahanian:
A matrix alignment approach for link prediction.
ICPR 2008: 1-4 |
| 42 | EE | Haibin Cheng,
Pang-Ning Tan:
Semi-supervised learning with data calibration for long-term time series forecasting.
KDD 2008: 133-141 |
| 41 | EE | Feilong Chen,
Jerry Scripps,
Pang-Ning Tan:
Link Mining for a Social Bookmarking Web Site.
Web Intelligence 2008: 169-175 |
| 40 | EE | H. D. K. Moonesinghe,
Pang-Ning Tan:
Outrank: a Graph-Based Outlier Detection Framework Using Random Walk.
International Journal on Artificial Intelligence Tools 17(1): 19-36 (2008) |
| 2007 |
| 39 | EE | Hamed Valizadegan,
Pang-Ning Tan:
A Prototype-driven Framework for Change Detection in Data Stream Classification.
CIDM 2007: 88-95 |
| 38 | EE | Haibin Cheng,
Pang-Ning Tan,
Jon Sticklen,
William F. Punch:
Recommendation via Query Centered Random Walk on K-Partite Graph.
ICDM 2007: 457-462 |
| 37 | EE | Jerry Scripps,
Pang-Ning Tan,
Abdol-Hossein Esfahanian:
Exploration of Link Structure and Community-Based Node Roles in Network Analysis.
ICDM 2007: 649-654 |
| 36 | EE | H. D. K. Moonesinghe,
Hamed Valizadegan,
Samah Jamal Fodeh,
Pang-Ning Tan:
A Probabilistic Substructure-Based Approach for Graph Classification.
ICTAI (1) 2007: 346-349 |
| 35 | EE | Samah Jamal Fodeh,
Pang-Ning Tan:
Incorporating Background Knowledge for Subjective Rule Evaluation.
ICTAI (2) 2007: 148-155 |
| 34 | EE | Hamed Valizadegan,
Pang-Ning Tan:
Kernel Based Detection of Mislabeled Training Examples.
SDM 2007 |
| 33 | EE | Haibin Cheng,
Pang-Ning Tan,
Rong Jin:
Localized Support Vector Machine and Its Efficient Algorithm.
SDM 2007 |
| 2006 |
| 32 | EE | Jing Gao,
Pang-Ning Tan:
Converting Output Scores from Outlier Detection Algorithms into Probability Estimates.
ICDM 2006: 212-221 |
| 31 | EE | H. D. K. Moonesinghe,
Samah Jamal Fodeh,
Pang-Ning Tan:
Frequent Closed Itemset Mining Using Prefix Graphs with an Efficient Flow-Based Pruning Strategy.
ICDM 2006: 426-435 |
| 30 | EE | Brian D. Connelly,
Christopher W. Bowron,
Li Xiao,
Pang-Ning Tan,
Chen Wang:
Adaptively Routing P2P Queries Using Association Analysis.
ICPP 2006: 281-288 |
| 29 | EE | H. D. K. Moonesinghe,
Pang-Ning Tan:
Outlier Detection Using Random Walks.
ICTAI 2006: 532-539 |
| 28 | EE | Haibin Cheng,
Pang-Ning Tan,
Jing Gao,
Jerry Scripps:
Multistep-Ahead Time Series Prediction.
PAKDD 2006: 765-774 |
| 27 | EE | Jing Gao,
Haibin Cheng,
Pang-Ning Tan:
Semi-supervised outlier detection.
SAC 2006: 635-636 |
| 26 | EE | Jing Gao,
Haibin Cheng,
Pang-Ning Tan:
A Novel Framework for Incorporating Labeled Examples into Anomaly Detection.
SDM 2006 |
| 25 | EE | Jerry Scripps,
Pang-Ning Tan:
Clustering in the Presence of Bridge-Nodes.
SDM 2006 |
| 24 | EE | Jing Gao,
Pang-Ning Tan,
Haibin Cheng:
Semi-Supervised Clustering with Partial Background Information.
SDM 2006 |
| 23 | EE | Hui Xiong,
Pang-Ning Tan,
Vipin Kumar:
Hyperclique pattern discovery.
Data Min. Knowl. Discov. 13(2): 219-242 (2006) |
| 22 | EE | Hui Xiong,
Shashi Shekhar,
Pang-Ning Tan,
Vipin Kumar:
TAPER: A Two-Step Approach for All-Strong-Pairs Correlation Query in Large Databases.
IEEE Trans. Knowl. Data Eng. 18(4): 493-508 (2006) |
| 21 | EE | Bo Wang,
Sohraab Soltani,
Jonathan K. Shapiro,
Pang-Ning Tan:
Local Detection of Selfish Routing Behavior in Ad Hoc Networks.
Journal of Interconnection Networks 7(1): 133-146 (2006) |
| 2005 |
| 20 | | Pang-Ning Tan,
Michael Steinbach,
Vipin Kumar:
Introduction to Data Mining
Addison-Wesley 2005 |
| 19 | EE | Bo Wang,
Sohraab Soltani,
Jonathan K. Shapiro,
Pang-Ning Tan:
Local Detection of Selfish Routing Behavior in Ad Hoc Networks.
ISPAN 2005: 392-399 |
| 18 | EE | Jing Gao,
Jianzhong Li,
Zhaogong Zhang,
Pang-Ning Tan:
An Incremental Data Stream Clustering Algorithm Based on Dense Units Detection.
PAKDD 2005: 420-425 |
| 2004 |
| 17 | EE | Michael Steinbach,
Pang-Ning Tan,
Vipin Kumar:
Support envelopes: a technique for exploring the structure of association patterns.
KDD 2004: 296-305 |
| 16 | EE | 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.
KDD 2004: 334-343 |
| 15 | EE | Michael Steinbach,
Pang-Ning Tan,
Hui Xiong,
Vipin Kumar:
Generalizing the notion of support.
KDD 2004: 689-694 |
| 14 | EE | Pang-Ning Tan,
Rong Jin:
Ordering patterns by combining opinions from multiple sources.
KDD 2004: 695-700 |
| 13 | EE | Hui Xiong,
Michael Steinbach,
Pang-Ning Tan,
Vipin Kumar:
HICAP: Hierarchical Clustering with Pattern Preservation.
SDM 2004 |
| 12 | EE | Aysel Ozgur,
Pang-Ning Tan,
Vipin Kumar:
RBA: An Integrated Framework for Regression based on Association Rules.
SDM 2004 |
| 11 | EE | Pang-Ning Tan,
Vipin Kumar,
Jaideep Srivastava:
Selecting the right objective measure for association analysis.
Inf. Syst. 29(4): 293-313 (2004) |
| 2003 |
| 10 | EE | Hui Xiong,
Pang-Ning Tan,
Vipin Kumar:
Mining Strong Affinity Association Patterns in Data Sets with Skewed Support Distribution.
ICDM 2003: 387-394 |
| 9 | EE | Michael Steinbach,
Pang-Ning Tan,
Vipin Kumar,
Steven A. Klooster,
Christopher Potter:
Discovery of climate indices using clustering.
KDD 2003: 446-455 |
| 2002 |
| 8 | EE | Pang-Ning Tan,
Vipin Kumar,
Jaideep Srivastava:
Selecting the right interestingness measure for association patterns.
KDD 2002: 32-41 |
| 7 | EE | Vipin Kumar,
Mahesh V. Joshi,
Eui-Hong Han,
Pang-Ning Tan,
Michael Steinbach:
High Performance Data Mining.
VECPAR 2002: 111-125 |
| 6 | | Pang-Ning Tan,
Vipin Kumar:
Discovery of Web Robot Sessions Based on their Navigational Patterns.
Data Min. Knowl. Discov. 6(1): 9-35 (2002) |
| 2001 |
| 5 | EE | Pang-Ning Tan,
Vipin Kumar:
Mining Indirect Associations in Web Data.
WEBKDD 2001: 145-166 |
| 2000 |
| 4 | EE | Pang-Ning Tan,
Hannah Blau,
Steven A. Harp,
Robert P. Goldman:
Textual data mining of service center call records.
KDD 2000: 417-423 |
| 3 | EE | Pang-Ning Tan,
Vipin Kumar,
Jaideep Srivastava:
Indirect Association: Mining Higher Order Dependencies in Data.
PKDD 2000: 632-637 |
| 2 | EE | 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) |
| 1999 |
| 1 | EE | Robert Cooley,
Pang-Ning Tan,
Jaideep Srivastava:
Discovery of Interesting Usage Patterns from Web Data.
WEBKDD 1999: 163-182 |