David Jensen

2008
48	EE	Andrew Fast, David Jensen: Why Stacked Models Perform Effective Collective Classification. ICDM 2008: 785-790
47	EE	Ravi Kumar, Alexander Tuzhilin, Christos Faloutsos, David Jensen, Gueorgi Kossinets, Jure Leskovec, Andrew Tomkins: Social networks: looking ahead. KDD 2008: 1060
46	EE	Jennifer Neville, David Jensen: A bias/variance decomposition for models using collective inference. Machine Learning 73(1): 87-106 (2008)
45	EE	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)
44	EE	Amy McGovern, David Jensen: Optimistic pruning for multiple instance learning. Pattern Recognition Letters 29(9): 1252-1260 (2008)
2007
43	EE	Matthew J. Rattigan, Marc 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
42	EE	Matthew J. Rattigan, Marc Maier, David Jensen: Graph clustering with network structure indices. ICML 2007: 783-790
41	EE	Jennifer Neville, David Jensen: Bias/Variance Analysis for Relational Domains. ILP 2007: 27-28
40	EE	Lisa Friedland, David Jensen: Finding tribes: identifying close-knit individuals from employment patterns. KDD 2007: 290-299
39	EE	Andrew Fast, Lisa Friedland, Marc Maier, Brian Taylor, David Jensen, Henry G. Goldberg, John Komoroske: Relational data pre-processing techniques for improved securities fraud detection. KDD 2007: 941-949
38	EE	Trevor Strohman, W. Bruce Croft, David Jensen: Recommending citations for academic papers. SIGIR 2007: 705-706
2006
37	EE	Chirag Shah, W. Bruce Croft, David Jensen: Representing documents with named entities for story link detection (SLD). CIKM 2006: 868-869
36	EE	John Burgess, Brian Gallagher, David Jensen, Brian Neil Levine: MaxProp: Routing for Vehicle-Based Disruption-Tolerant Networks. INFOCOM 2006
35	EE	Matthew J. Rattigan, Marc Maier, David Jensen: Using structure indices for efficient approximation of network properties. KDD 2006: 357-366
34	EE	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)
2005
33		Stephen Hart, Roderic A. Grupen, David Jensen: A Relational Representation for Procedural Task Knowledge. AAAI 2005: 1280-1285
32	EE	Jennifer Neville, David Jensen: Leveraging Relational Autocorrelation with Latent Group Models. ICDM 2005: 322-329
31	EE	Özgür Simsek, David Jensen: Decentralized Search in Networks Using Homophily and Degree Disparity. IJCAI 2005: 304-310
30	EE	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
29	EE	Andrew Fast, David Jensen, Brian Neil Levine: Creating social networks to improve peer-to-peer networking. KDD 2005: 568-573
28	EE	George Dean Bissias, Marc Liberatore, David Jensen, Brian Neil Levine: Privacy Vulnerabilities in Encrypted HTTP Streams. Privacy Enhancing Technologies 2005: 1-11
27	EE	Jennifer Neville, David Jensen: Leveraging relational autocorrelation with latent group models. Probabilistic, Logical and Relational Learning 2005
26	EE	Matthew J. Rattigan, David Jensen: The case for anomalous link discovery. SIGKDD Explorations 7(2): 41-47 (2005)
2004
25	EE	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
24	EE	Jennifer Neville, David Jensen: Dependency Networks for Relational Data. ICDM 2004: 170-177
23	EE	David Jensen, Jennifer Neville, Brian Gallagher: Why collective inference improves relational classification. KDD 2004: 593-598
2003
22	EE	Jennifer Neville, David Jensen, Brian Gallagher: Simple Estimators for Relational Bayesian Classifiers. ICDM 2003: 609-612
21		David Jensen, Jennifer Neville, Michael Hay: Avoiding Bias when Aggregating Relational Data with Degree Disparity. ICML 2003: 274-281
20		Amy McGovern, David Jensen: Identifying Predictive Structures in Relational Data Using Multiple Instance Learning. ICML 2003: 528-535
19	EE	David Jensen, Matthew J. Rattigan, Hannah Blau: Information awareness: a prospective technical assessment. KDD 2003: 378-387
18	EE	Jennifer Neville, David Jensen, Lisa Friedland, Michael Hay: Learning relational probability trees. KDD 2003: 625-630
17	EE	Haifeng Xi, Heng Cao, Leonard Berman, David Jensen: Supply chain simulation: distributed supply chain simulation using a generic job running framework. Winter Simulation Conference 2003: 1305-1312
16	EE	Amy McGovern, Lisa Friedland, Michael Hay, Brian Gallagher, Andrew Fast, Jennifer Neville, David Jensen: Exploiting relational structure to understand publication patterns in high-energy physics. SIGKDD Explorations 5(2): 165-172 (2003)
2002
15		David Jensen, Jennifer Neville: Linkage and Autocorrelation Cause Feature Selection Bias in Relational Learning. ICML 2002: 259-266
14	EE	David Jensen, Jennifer Neville: Autocorrelation and Linkage Cause Bias in Evaluation of Relational Learners. ILP 2002: 101-116
2000
13	EE	Victor Lavrenko, Matthew D. Schmill, Dawn Lawrie, Paul Ogilvie, David Jensen, James Allan: Language Models for Financial News Recommendation. CIKM 2000: 389-396
12	EE	David Jensen: Knowledge Discovery from Graphs (Invited Talk). Graph Drawing 2000: 170
11		Fawzi Daud, Michael Mateas, Phoebe Sengers, Susan Brennan, Alain Giboin, David R. Traum, Vinay 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)
10	EE	David Jensen: Data Snooping, Dredging and Fishing: The Dark Side of Data Mining, A SIGKDD99 Panel Report. SIGKDD Explorations 1(2): 52-54 (2000)
1999
9		David Jensen, Michael Atighetchi, Régis Vincent, Victor R. Lesser: Learning Quantitative Knowledge for Multiagent Coordination. AAAI/IAAI 1999: 24-31
8		Tim Oates, David Jensen: Toward a Theoretical Understanding of Why and When Decision Tree Pruning Algorithms Fail. AAAI/IAAI 1999: 372-378
7	EE	Foster J. Provost, David Jensen, Tim Oates: Efficient Progressive Sampling. KDD 1999: 23-32
6	EE	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
1998
5		Tim Oates, David Jensen: Large Datasets Lead to Overly Complex Models: An Explanation and a Solution. KDD 1998: 294-298
4		Francisco Barahona, David Jensen: Plant location with minimum inventory. Math. Program. 83: 101-111 (1998)
1997
3		Tim Oates, David Jensen: The Effects of Training Set Size on Decision Tree Complexity. ICML 1997: 254-262
2	EE	David Jensen, Tim Oates, Paul R. Cohen: Building Simple Models: A Case Study with Decision Trees. IDA 1997: 211-222
1		David Jensen, Matthew D. Schmill: Adjusting for Multiple Comparisons in Decision Tree Pruning. KDD 1997: 195-198

Coauthor Index

1	James Allan	[13]
2	Michael Atighetchi	[9]
3	Nader Bagherzadeh	[25]
4	Francisco Barahona	[4]
5	Leonard Berman	[17]
6	George Dean Bissias	[28]
7	Hannah Blau	[19]
8	Hendrik Blockeel	[34]
9	Susan Brennan	[11]
10	John Burgess	[36]
11	Heng Cao	[17]
12	Vinay Chaudri	[11]
13	Pai H. Chou	[25]
14	Paul R. Cohen	[2]
15	W. Bruce Croft	[37] [38]
16	Fawzi Daud	[11]
17	Yulin Dong	[6]
18	Christos Faloutsos	[47]
19	Andrew Fast	[16] [29] [39] [48]
20	Richard Fikes	[11]
21	Lisa Friedland	[16] [18] [39] [40]
22	Brian Gallagher	[16] [22] [23] [36]
23	Alain Giboin	[11]
24	Henry G. Goldberg	[30] [39]
25	Bita Gorjiara	[25]
26	Roderic A. Grupen	[33]
27	Stephen Hart	[33]
28	Michael Hay	[16] [18] [21] [45]
29	John Komoroske	[30] [39]
30	Gueorgi Kossinets	[47]
31	Stefan Kramer	[34]
32	Ravi Kumar (S. Ravi Kumar)	[47]
33	Victor Lavrenko	[13]
34	Dawn J. Lawrie (Dawn Lawrie)	[13]
35	Barbara Staudt Lerner	[6]
36	Jure Leskovec	[47]
37	Victor R. Lesser	[9]
38	Brian Neil Levine	[28] [29] [36]
39	Marc Liberatore	[28]
40	Marc Maier	[35] [39] [42] [43]
41	Michael Mateas	[11]
42	Eric K. McCall	[6]
43	Amy McGovern	[16] [20] [44]
44	Gerome Miklau	[45]
45	Jennifer Neville	[14] [15] [16] [18] [21] [22] [23] [24] [27] [30] [32] [41] [46]
46	Tim Oates	[2] [3] [5] [7] [8]
47	Paul Ogilvie	[13]
48	Leon J. Osterweil	[6]
49	Kelly Palmer	[30]
50	Xin Pei	[43]
51	Richard Power	[11]
52	Foster J. Provost	[7]
53	Matthew J. Rattigan	[19] [26] [35] [42] [43]
54	Mehrdad Reshadi	[25]
55	Matthew D. Schmill	[1] [13]
56	Donia Scott	[11]
57	Phoebe Sengers	[11]
58	Chirag Shah	[37]
59	Özgür Simsek	[30] [31]
60	Trevor Strohman	[38]
61	Stanley M. Sutton Jr.	[6]
62	JianBin Tan	[43]
63	Brian Taylor	[39]
64	Andrew Tomkins	[47]
65	Donald F. Towsley	[45]
66	David R. Traum	[11]
67	Alexander Tuzhilin	[47]
68	Régis Vincent	[9]
69	Yi Wang	[43]
70	Philipp Weis	[45]
71	Alexander E. Wise	[6]
72	Bin Wu	[43]
73	Haifeng Xi	[17]

Colors in the list of coauthors