Publications

79 entries « 2 of 2 »

2009

Accurate Estimation of the Degree Distribution of Private Networks Inproceedings

Michael Hay, Chao Li, Gerome Miklau, David Jensen

ICDM 2009, The Ninth IEEE International Conference on Data Mining, Miami, Florida, USA, 6-9 December 2009, pp. 169–178, IEEE Computer Society, 2009.

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Constraint relaxation for learning the structure of Bayesian networks Technical Report

Andrew Fast, David Jensen

Tech Report 09-18, University of Massachusetts Amherst, Computer Science~… 2009.

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2008

Resisting structural re-identification in anonymized social networks Journal Article

Michael Hay, Gerome Miklau, David Jensen, Don Towsley, Philipp Weis

Proceedings of the VLDB Endowment, 1 (1), pp. 102–114, 2008.

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Navigating networks by using homophily and degree Journal Article

Ozgur Simsek, David Jensen

Proceedings of the National Academy of Sciences, 105 (35), pp. 12758–12762, 2008.

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A bias/variance decomposition for models using collective inference Journal Article

Jennifer Neville, David Jensen

Machine Learning, 73 (1), pp. 87–106, 2008.

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Optimistic pruning for multiple instance learning Journal Article

Amy McGovern, David Jensen

Pattern recognition letters, 29 (9), pp. 1252–1260, 2008.

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Automatic identification of quasi-experimental designs for discovering causal knowledge Inproceedings

David Jensen, Andrew Fast, Brian Taylor, Marc Maier

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Las Vegas, Nevada, USA, August 24-27, 2008, pp. 372–380, 2008.

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Why stacked models perform effective collective classification Inproceedings

Andrew Fast, David Jensen

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), December 15-19, 2008, Pisa, Italy, pp. 785–790, IEEE Computer Society, 2008.

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2007

Relational Dependency Networks Journal Article

Jennifer Neville, David Jensen

J. Mach. Learn. Res., 8 , pp. 653–692, 2007.

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Anonymizing social networks Journal Article

Michael Hay, Gerome Miklau, David Jensen, Philipp Weis, Siddharth Srivastava

Computer science department faculty publication series, pp. 180, 2007.

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2006

Analytic webs support the synthesis of ecological data sets Journal Article

Aaron M Ellison, Leon J Osterweil, Lori Clarke, Julian L Hadley, Alexander Wise, Emery Boose, David R Foster, Allen Hanson, David Jensen, Paul Kuzeja, others

Ecology, 87 (6), pp. 1345–1358, 2006.

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MaxProp: Routing for Vehicle-Based Disruption-Tolerant Networks Inproceedings

John Burgess, Brian Gallagher, David Jensen, Brian Neil Levine

INFOCOM 2006. 25th IEEE International Conference on Computer Communications, Joint Conference of the IEEE Computer and Communications Societies, 23-29 April 2006, Barcelona, Catalunya, Spain, IEEE, 2006.

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2005

The case for anomalous link discovery Journal Article

Matthew Rattigan, David Jensen

SIGKDD Explor., 7 (2), pp. 41–47, 2005.

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Privacy vulnerabilities in encrypted HTTP streams Inproceedings

George Dean Bissias, Marc Liberatore, David Jensen, Brian Neil Levine

International Workshop on Privacy Enhancing Technologies, pp. 1–11, Springer 2005.

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Privacy Vulnerabilities in Encrypted HTTP Streams Inproceedings

George Dean Bissias, Marc Liberatore, David Jensen, Brian Neil Levine

Privacy Enhancing Technologies, 5th International Workshop, PET 2005, Cavtat, Croatia, May 30-June 1, 2005, Revised Selected Papers, pp. 1–11, Springer, 2005.

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Leveraging Relational Autocorrelation with Latent Group Models Inproceedings

Jennifer Neville, David Jensen

Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 27-30 November 2005, Houston, Texas, USA, pp. 322–329, IEEE Computer Society, 2005.

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Creating social networks to improve peer-to-peer networking Inproceedings

Andrew Fast, David Jensen, Brian Neil Levine

Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Chicago, Illinois, USA, August 21-24, 2005, pp. 568–573, ACM, 2005.

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2004

Why collective inference improves relational classification Inproceedings

David Jensen, Jennifer Neville, Brian Gallagher

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Seattle, Washington, USA, August 22-25, 2004, pp. 593–598, ACM, 2004.

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Dependency Networks for Relational Data Inproceedings

Jennifer Neville, David Jensen

Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 1-4 November 2004, Brighton, UK, pp. 170–177, IEEE Computer Society, 2004.

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2003

A note on the unification of information extraction and data mining using conditional-probability, relational models Journal Article

Andrew McCallum, David Jensen

Computer Science Department Faculty Publication Series, pp. 42, 2003.

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Data mining in social networks Book

David Jensen, Jennifer Neville

na, 2003.

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Learning relational probability trees Inproceedings

Jennifer Neville, David Jensen, Lisa Friedland, Michael Hay

Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24 - 27, 2003, pp. 625–630, ACM, 2003.

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Collective classification with relational dependency networks Inproceedings

Jennifer Neville, David Jensen

Workshop on Multi-Relational Data Mining (MRDM-2003), pp. 77, 2003.

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Simple Estimators for Relational Bayesian Classifiers Inproceedings

Jennifer Neville, David Jensen, Brian Gallagher

Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 19-22 December 2003, Melbourne, Florida, USA, pp. 609–612, IEEE Computer Society, 2003.

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Clustering relational data using attribute and link information Inproceedings

Jennifer Neville, Micah Adler, David Jensen

Proceedings of the text mining and link analysis workshop, 18th international joint conference on artificial intelligence, pp. 9–15, Citeseer 2003.

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Information awareness: a prospective technical assessment Inproceedings

David Jensen, Matthew Rattigan, Hannah Blau

Getoor, Lise; Senator, Ted E; Domingos, Pedro M; Faloutsos, Christos (Ed.): Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24 - 27, 2003, pp. 378–387, ACM, 2003.

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2002

Linkage and Autocorrelation Cause Feature Selection Bias in Relational Learning Inproceedings

David Jensen, Jennifer Neville

Machine Learning, Proceedings of the Nineteenth International Conference (ICML 2002), University of New South Wales, Sydney, Australia, July 8-12, 2002, pp. 259–266, Morgan Kaufmann, 2002.

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2000

Multiple Comparisons in Induction Algorithms Journal Article

David Jensen, Paul R Cohen

Mach. Learn., 38 (3), pp. 309–338, 2000.

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Iterative classification in relational data Inproceedings

Jennifer Neville, David Jensen

Proc. AAAI-2000 workshop on learning statistical models from relational data, pp. 13–20, 2000.

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79 entries « 2 of 2 »