David Jensen

Marc E. Maier, David Jensen: Identifying Independence in Relational Models. CoRR abs/1206.3536 (2012)

Marc E. Maier, Matthew J. Rattigan, David Jensen: Indexing Network Structure with Shortest-Path Trees. TKDD 5(3): 15 (2011)

Matthew J. Rattigan, Marc E. Maier, David Jensen: Relational Blocking for Causal Discovery. AAAI 2011

Phillip B. Kirlin, David Jensen: Probabilistic Modeling of Hierarchical Music Analysis. ISMIR 2011: 393-398

David Jensen, Arun Rodrigues: Embedded Systems and Exascale Computing. Computing in Science and Engineering 12(6): 20-29 (2010)

Michael Hay, Gerome Miklau, David Jensen, Donald F. Towsley, Chao Li: Resisting structural re-identification in anonymized social networks. VLDB J. 19(6): 797-823 (2010)

Marc E. Maier, Brian J. Taylor, Huseyin Oktay, David Jensen: Learning Causal Models of Relational Domains. AAAI 2010

Matthew J. Rattigan, David Jensen: Leveraging D-Separation for Relational Data Sets. ICDM 2010: 989-994

David Jensen: Knowledge Discovery by Design. KDIR 2009: 9-9

Michael Hay, Chao Li, Gerome Miklau, David Jensen: Accurate Estimation of the Degree Distribution of Private Networks. ICDM 2009: 169-178

Jennifer Neville, David Jensen: A bias/variance decomposition for models using collective inference. Machine Learning 73(1): 87-106 (2008)

Amy McGovern, David Jensen: Optimistic pruning for multiple instance learning. Pattern Recognition Letters 29(9): 1252-1260 (2008)

Michael Hay, Gerome Miklau, David Jensen, Donald F. Towsley, Philipp Weis: Resisting structural re-identification in anonymized social networks. PVLDB 1(1): 102-114 (2008)

Andrew S. Fast, David Jensen: Why Stacked Models Perform Effective Collective Classification. ICDM 2008: 785-790

Ravi Kumar, Alexander Tuzhilin, Christos Faloutsos, David Jensen, Gueorgi Kossinets, Jure Leskovec, Andrew Tomkins: Social networks: looking ahead. KDD 2008: 1060

Jennifer Neville, David Jensen: Relational Dependency Networks. Journal of Machine Learning Research 8: 653-692 (2007)

Matthew J. Rattigan, Marc E. Maier, David Jensen, Bin Wu, Xin Pei, Jianbin Tan, Yi Wang: Exploiting Network Structure for Active Inference in Collective Classification. ICDM Workshops 2007: 429-434

Matthew J. Rattigan, Marc E. Maier, David Jensen: Graph clustering with network structure indices. ICML 2007: 783-790

Jennifer Neville, David Jensen: Bias/Variance Analysis for Relational Domains. ILP 2007: 27-28

Lisa Friedland, David Jensen: Finding tribes: identifying close-knit individuals from employment patterns. KDD 2007: 290-299

Andrew S. Fast, Lisa Friedland, Marc E. Maier, Brian J. Taylor, David Jensen, Henry G. Goldberg, John Komoroske: Relational data pre-processing techniques for improved securities fraud detection. KDD 2007: 941-949

Trevor Strohman, W. Bruce Croft, David Jensen: Recommending citations for academic papers. SIGIR 2007: 705-706

Hendrik Blockeel, David Jensen, Stefan Kramer: Introduction to the special issue on multi-relational data mining and statistical relational learning. Machine Learning 62(1-2): 3-5 (2006)

Chirag Shah, W. Bruce Croft, David Jensen: Representing documents with named entities for story link detection (SLD). CIKM 2006: 868-869

John Burgess, Brian Gallagher, David Jensen, Brian Neil Levine: MaxProp: Routing for Vehicle-Based Disruption-Tolerant Networks. INFOCOM 2006

Matthew J. Rattigan, Marc E. Maier, David Jensen: Using structure indices for efficient approximation of network properties. KDD 2006: 357-366

Matthew J. Rattigan, David Jensen: The case for anomalous link discovery. SIGKDD Explorations 7(2): 41-47 (2005)

Stephen Hart, Roderic A. Grupen, David Jensen: A Relational Representation for Procedural Task Knowledge. AAAI 2005: 1280-1285

Jennifer Neville, David Jensen: Leveraging relational autocorrelation with latent group models. Probabilistic, Logical and Relational Learning 2005

Jennifer Neville, David Jensen: Leveraging Relational Autocorrelation with Latent Group Models. ICDM 2005: 322-329

Özgür Simsek, David Jensen: Decentralized Search in Networks Using Homophily and Degree Disparity. IJCAI 2005: 304-310

Jennifer Neville, Özgür Simsek, David Jensen, John Komoroske, Kelly Palmer, Henry G. Goldberg: Using relational knowledge discovery to prevent securities fraud. KDD 2005: 449-458

Andrew S. Fast, David Jensen, Brian Neil Levine: Creating social networks to improve peer-to-peer networking. KDD 2005: 568-573

George Dean Bissias, Marc Liberatore, David Jensen, Brian Neil Levine: Privacy Vulnerabilities in Encrypted HTTP Streams. Privacy Enhancing Technologies 2005: 1-11

Bita Gorjiara, Pai H. Chou, Nader Bagherzadeh, Mehrdad Reshadi, David Jensen: Fast and efficient voltage scheduling by evolutionary slack distribution. ASP-DAC 2004: 659-662

Jennifer Neville, David Jensen: Dependency Networks for Relational Data. ICDM 2004: 170-177

David Jensen, Jennifer Neville, Brian Gallagher: Why collective inference improves relational classification. KDD 2004: 593-598

Amy McGovern, Lisa Friedland, Michael Hay, Brian Gallagher, Andrew S. Fast, Jennifer Neville, David Jensen: Exploiting relational structure to understand publication patterns in high-energy physics. SIGKDD Explorations 5(2): 165-172 (2003)

Jennifer Neville, David Jensen, Brian Gallagher: Simple Estimators for Relational Bayesian Classifiers. ICDM 2003: 609-612

David Jensen, Jennifer Neville, Michael Hay: Avoiding Bias when Aggregating Relational Data with Degree Disparity. ICML 2003: 274-281

Amy McGovern, David Jensen: Identifying Predictive Structures in Relational Data Using Multiple Instance Learning. ICML 2003: 528-535

David Jensen, Matthew J. Rattigan, Hannah Blau: Information awareness: a prospective technical assessment. KDD 2003: 378-387

Jennifer Neville, David Jensen, Lisa Friedland, Michael Hay: Learning relational probability trees. KDD 2003: 625-630

David Jensen, Jennifer Neville: Linkage and Autocorrelation Cause Feature Selection Bias in Relational Learning. ICML 2002: 259-266

David Jensen, Jennifer Neville: Autocorrelation and Linkage Cause Bias in Evaluation of Relational Learners. ILP 2002: 101-116

Fawzi Daud, Michael Mateas, Phoebe Sengers, Susan Brennan, Alain Giboin, David R. Traum, Vinay K. Chaudri, Richard Fikes, Donia Scott, Richard Power, David Jensen: Reports on the AAAI Fall Symposia (November 1999 and November 1998). AI Magazine 21(2): 85-88 (2000)

David Jensen: Data Snooping, Dredging and Fishing: The Dark Side of Data Mining, A SIGKDD99 Panel Report. SIGKDD Explorations 1(2): 52-54 (2000)

Victor Lavrenko, Matthew D. Schmill, Dawn Lawrie, Paul Ogilvie, David Jensen, James Allan: Language Models for Financial News Recommendation. CIKM 2000: 389-396

David Jensen: Knowledge Discovery from Graphs (Invited Talk). Graph Drawing 2000: 170

David Jensen, Michael Atighetchi, Régis Vincent, Victor R. Lesser: Learning Quantitative Knowledge for Multiagent Coordination. AAAI/IAAI 1999: 24-31

Tim Oates, David Jensen: Toward a Theoretical Understanding of Why and When Decision Tree Pruning Algorithms Fail. AAAI/IAAI 1999: 372-378

Foster J. Provost, David Jensen, Tim Oates: Efficient Progressive Sampling. KDD 1999: 23-32

David Jensen, Yulin Dong, Barbara Staudt Lerner, Eric K. McCall, Leon J. Osterweil, Stanley M. Sutton Jr., Alexander E. Wise: Coordinating agent activities in knowledge discovery processes. WACC 1999: 137-146

Francisco Barahona, David Jensen: Plant location with minimum inventory. Math. Program. 83: 101-111 (1998)

Tim Oates, David Jensen: Large Datasets Lead to Overly Complex Models: An Explanation and a Solution. KDD 1998: 294-298

Tim Oates, David Jensen: The Effects of Training Set Size on Decision Tree Complexity. ICML 1997: 254-262

David Jensen, Tim Oates, Paul R. Cohen: Building Simple Models: A Case Study with Decision Trees. IDA 1997: 211-222

David Jensen, Matthew D. Schmill: Adjusting for Multiple Comparisons in Decision Tree Pruning. KDD 1997: 195-198