Publications

127 entries « 2 of 3 »

2010

Marc Maier, Brian Taylor, Huseyin Oktay, David Jensen

Learning causal models of relational domains Inproceedings

In: Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2010, Atlanta, Georgia, USA, July 11-15, 2010, 2010.

Abstract | Links | BibTeX

Huseyin Oktay, Brian Taylor, David Jensen

Causal discovery in social media using quasi-experimental designs Inproceedings

In: Proceedings of the 3rd Workshop on Social Network Mining and Analysis, SNAKDD, pp. 1–9, 2010.

Abstract | Links | BibTeX

Brian Delaney, Andrew Fast, W Campbell, C Weinstein, David Jensen

The application of statistical relational learning to a database of criminal and terrorist activity Inproceedings

In: Proceedings of the 2010 SIAM International Conference on Data Mining, pp. 409–417, Society for Industrial and Applied Mathematics 2010.

Abstract | Links | BibTeX

Matthew Rattigan, David Jensen

Leveraging d-separation for relational data sets Inproceedings

In: ICDM 2010, The 10th IEEE International Conference on Data Mining, pp. 989–994, IEEE 2010.

Abstract | Links | BibTeX

2009

Michael Hay, Chao Li, Gerome Miklau, David Jensen

Accurate Estimation of the Degree Distribution of Private Networks Inproceedings

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

Abstract | Links | BibTeX

Andrew Fast, David Jensen

Constraint relaxation for learning the structure of Bayesian networks Technical Report

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

Abstract | Links | BibTeX

2008

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

Resisting structural re-identification in anonymized social networks Journal Article

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

Abstract | Links | BibTeX

Ozgur Simsek, David Jensen

Navigating networks by using homophily and degree Journal Article

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

Abstract | Links | BibTeX

Jennifer Neville, David Jensen

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

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

Abstract | Links | BibTeX

Amy McGovern, David Jensen

Optimistic pruning for multiple instance learning Journal Article

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

Abstract | Links | BibTeX

David Jensen, Andrew Fast, Brian Taylor, Marc Maier

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

In: 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.

Abstract | Links | BibTeX

Andrew Fast, David Jensen

Why stacked models perform effective collective classification Inproceedings

In: 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.

Abstract | Links | BibTeX

David Jensen, Andrew Fast, Brian Taylor, Marc Maier

Automatic Identification of Quasi-Experimental Designs for Discovering Causal Knowledge Inproceedings

In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 372–380, Association for Computing Machinery, Las Vegas, Nevada, USA, 2008, ISBN: 9781605581934.

Abstract | Links | BibTeX

Andrew Fast, Michael Hay, David Jensen

Improving accuracy of constraint-based structure learning Technical Report

Technical report 08-48, University of Massachusetts Amherst, Computer~… 2008.

Abstract | Links | BibTeX

2007

Jennifer Neville, David Jensen

Relational Dependency Networks Journal Article

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

Abstract | Links | BibTeX

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

Anonymizing social networks Journal Article

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

Abstract | Links | BibTeX

Michael Hay, Andrew Fast, David Jensen

Understanding the effects of search constraints on structure learning Journal Article

In: U Mass. Amherst CS, Tech. Rep, pp. 07–21, 2007.

Abstract | Links | BibTeX

Matthew Rattigan, Marc Maier, David Jensen

Graph clustering with network structure indices Inproceedings

In: Machine Learning, Proceedings of the Twenty-Fourth International Conference (ICML 2007), Corvallis, Oregon, USA, June 20-24, 2007, pp. 783–790, ACM, 2007.

Abstract | Links | BibTeX

Trevor Strohman, W. Bruce Croft, David Jensen

Recommending citations for academic papers Inproceedings

In: SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Amsterdam, The Netherlands, July 23-27, 2007, pp. 705–706, ACM, 2007.

Abstract | Links | BibTeX

Lisa Friedland, David Jensen

Finding tribes: identifying close-knit individuals from employment patterns Inproceedings

In: Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Jose, California, USA, August 12-15, 2007, pp. 290–299, ACM, 2007.

Abstract | Links | BibTeX

Matthew Rattigan, Marc Maier, David Jensen, Bin Wu, Xin Pei, Jianbin Tan, Yi Wang

Exploiting Network Structure for Active Inference in Collective Classification Inproceedings

In: Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), October 28-31, 2007, Omaha, Nebraska, USA, pp. 429–434, IEEE Computer Society, 2007.

Abstract | Links | BibTeX

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 Inproceedings

In: Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Jose, California, USA, August 12-15, 2007, pp. 941–949, ACM, 2007.

Abstract | Links | BibTeX

David Jensen

Beyond Prediction: Directions for Probabilistic and Relational Learning Inproceedings

In: Inductive Logic Programming, 17th International Conference, ILP 2007, Corvallis, OR, USA, June 19-21, 2007, Revised Selected Papers, pp. 4–21, Springer, 2007.

Abstract | Links | BibTeX

Jennifer Neville, David Jensen

Bias/Variance Analysis for Relational Domains Inproceedings

In: Inductive Logic Programming, 17th International Conference, ILP 2007, Corvallis, OR, USA, June 19-21, 2007, Revised Selected Papers, pp. 27–28, Springer, 2007.

Abstract | Links | BibTeX

2006

Hendrik Blockeel, David Jensen, Stefan Kramer

Introduction to the special issue on multi-relational data mining and statistical relational learning Journal Article

In: Mach. Learn., 62 (1-2), pp. 3–5, 2006.

Links | BibTeX

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

Analytic webs support the synthesis of ecological data sets Journal Article

In: Ecology, 87 (6), pp. 1345–1358, 2006.

Abstract | Links | BibTeX

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

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

In: 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.

Abstract | Links | BibTeX

Matthew Rattigan, Marc Maier, David Jensen

Using structure indices for efficient approximation of network properties Inproceedings

In: Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Philadelphia, PA, USA, August 20-23, 2006, pp. 357–366, ACM, 2006.

Abstract | Links | BibTeX

Chirag Shah, W. Bruce Croft, David Jensen

Representing documents with named entities for story link detection (SLD) Inproceedings

In: Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, Arlington, Virginia, USA, November 6-11, 2006, pp. 868–869, ACM, 2006.

Abstract | Links | BibTeX

Andrew Fast, David Jensen

The NFL Coaching Network: Analysis of the Social Network among Professional Football Coaches Inproceedings

In: Capturing and Using Patterns for Evidence Detection, Papers from the 2006 AAAI Fall Symposium, Washington, DC, USA, October 13-15, 2006, pp. 112–119, AAAI Press, 2006.

Abstract | Links | BibTeX

Jennifer Neville, David Jensen

Bias/variance analysis for network data Inproceedings

In: Proceedings of the Workshop on Statistical Relational Learning, 23rd International Conference on Machine Learning, 2006.

Abstract | Links | BibTeX

2005

Matthew Rattigan, David Jensen

The case for anomalous link discovery Journal Article

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

Abstract | Links | BibTeX

Brian Gallagher, David Jensen, Brian Neil Levine, others

Explaining routing performance in disruption tolerant networks Journal Article

In: University of Massachusetts Amherst, Technical Report, 2005.

Abstract | Links | BibTeX

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

Privacy Vulnerabilities in Encrypted HTTP Streams Inproceedings

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

Abstract | Links | BibTeX

Jennifer Neville, David Jensen

Leveraging Relational Autocorrelation with Latent Group Models Inproceedings

In: 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.

Abstract | Links | BibTeX

Andrew Fast, David Jensen, Brian Neil Levine

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

In: 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.

Abstract | Links | BibTeX

Stephen Hart, Roderic A. Grupen, David Jensen

A Relational Representation for Procedural Task Knowledge Inproceedings

In: Proceedings, The Twentieth National Conference on Artificial Intelligence and the Seventeenth Innovative Applications of Artificial Intelligence Conference, July 9-13, 2005, Pittsburgh, Pennsylvania, USA, pp. 1280–1285, AAAI Press / The MIT Press, 2005.

Abstract | Links | BibTeX

Matthew Rattigan, David Jensen

The case for anomalous link detection Inproceedings

In: Proceedings of the 4th international workshop on multi-relational mining, pp. 69–74, 2005.

Abstract | Links | BibTeX

Ozgur Simsek, David Jensen

A probabilistic framework for decentralized search in networks Inproceedings

In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2005.

BibTeX

Ozgur Simsek, David Jensen

Decentralized Search in Networks Using Homophily and Degree Disparity Inproceedings

In: IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30 - August 5, 2005, pp. 304–310, Professional Book Center, 2005.

Abstract | Links | BibTeX

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

Privacy vulnerabilities in encrypted HTTP streams Inproceedings

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

Abstract | Links | BibTeX

2004

David Jensen, Jennifer Neville, Brian Gallagher

Why collective inference improves relational classification Inproceedings

In: 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.

Abstract | Links | BibTeX

Jennifer Neville, David Jensen

Dependency Networks for Relational Data Inproceedings

In: 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.

Abstract | Links | BibTeX

Jennifer Neville, Micah Adler, David Jensen

Spectral clustering with links and attributes Technical Report

MASSACHUSETTS UNIV AMHERST DEPT OF COMPUTER SCIENCE 2004.

Abstract | Links | BibTeX

Jennifer Neville, Ozgur Simsek, David Jensen

Autocorrelation and relational learning: Challenges and opportunities Technical Report

MASSACHUSETTS UNIV AMHERST DEPT OF COMPUTER SCIENCE 2004.

Abstract | Links | BibTeX

2003

Andrew McCallum, David Jensen

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

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

Abstract | Links | BibTeX

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 Journal Article

In: SIGKDD Explor., 5 (2), pp. 165–172, 2003.

Abstract | Links | BibTeX

David Jensen, Jennifer Neville

Data mining in social networks Book

na, 2003.

Abstract | Links | BibTeX

Jennifer Neville, David Jensen, Lisa Friedland, Michael Hay

Learning relational probability trees Inproceedings

In: 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.

Abstract | Links | BibTeX

Jennifer Neville, David Jensen

Collective classification with relational dependency networks Inproceedings

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

Abstract | Links | BibTeX

127 entries « 2 of 3 »