Lawrence Livermore National Laboratory

Lawrence Livermore National Laboratory


Brian J Gallagher


Email: gallagher23@llnl.gov
Phone: 925-424-4468

Mailing address:
Brian J Gallagher
Lawrence Livermore National Laboratory
Box 808, L-560
Livermore, CA 94551-0808

Brian Gallagher is a computer scientist in the Applications, Simulations & Quality (ASQ) Division at LLNL. He joined LLNL in October 2005 and currently works at the Center for Applied Scientific Computing (CASC). His research interests include machine learning, knowledge discovery and data mining, and artificial intelligence. His current research focuses on classification and analysis in network-structured data.

Brian earned an M.S. in Computer Science at the University of Massachusetts Amherst in 2004, where he worked with David Jensen in the Knowledge Discovery Laboratory. He received a B.S. in Computer Science from Carleton College in 1998.


Publications

2010

Gallagher, B. and T. Eliassi-Rad, "Leveraging Label-Independent Features for Classification in Sparsely Labeled Networks: An Empirical Study," Lecture Notes in Computer Science: Advances in Social Network Mining and Analysis, Springer, 2010 (forthcoming).

 

Gallagher, B, M. Iliofotou, T. Eliassi-Rad, and M. Faloutsos, "Homophily in Application Layer and its Usage in Traffic Classification, " Proceedings of the 29th IEEE Conference on Computer Communications (INFOCOM'10) Miniconference, San Diego, CA, March 2010.

2009

Neville, J., B. Gallagher, and T. Eliassi-Rad, "Evaluating Statistical Tests for Within-Network Classifiers of Relational Data," Proceedings of the 9th IEEE International Conference on Data Mining (ICDM'09), December, 2009. Best-paper award runner up.

 

Gallagher, B. and T. Eliassi-Rad, "Classification of HTTP Attacks: A Study on the ECML/PKDD 2007 Discovery Challenge," Lawrence Livermore National Laboratory Technical Report LLNL-TR-414570, July 2009.

2008

Chau, D. H., C. Faloutsos, H. Tong, J. Hong, B. Gallagher, and T. Eliassi-Rad, "GRAPHITE: A Visual Query System for Large Graphs," Proceedings of the 2008 IEEE International Conference on Data Mining Workshops (ICDMW'08), Pisa, Italy, December 2008.

 

Gallagher, B. and T. Eliassi-Rad, "Classification of HTTP Attacks: A Study on the 2007 ECML/PKDD Discovery Challange," Center for Advanced Signal and Image Sciences (CASIS) Workshop, Lawrence Livermore National Laboratory, November 2008.


Sen, P. G. Namata, M. Bilgic, L. Getoor, B. Gallagher, and T. Eliassi-Rad, "Collective Classification in Network Data," AI Magazine, Special Issue on AI and Networks, 29(3):93-106, 2008.

Gallagher, B., H. Tong, T. Eliassi-Rad, and C. Faloutsos, "Using Ghost Edges for Classification in Sparsely Labeled Networks," Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008.


Gallagher, B. and T. Eliassi-Rad, "Leveraging Label-Independent Features for Classification in Sparsely Labeled Networks: An Empirical Study," In Proceedings of the Second ACM SIGKDD Workshop on Social Network Mining and Analysis (SNA-KDD), 2008.

2007

Gallagher, B. and T. Eliassi-Rad, "An Examination of Experimental Methodology for Classifiers of Relational Data," In Proceedings of the IEEE ICDM Workshop on Mining Graphs and Complex Structures, 2007.

Tong, H., B. Gallagher, C. Faloutsos, and T. Eliassi-Rad, "Fast Best-Effort Pattern Matching in Large Attributed Graphs," Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007.

Gallagher, B. and T. Eliassi-Rad, "Leveraging Network Structure to Infer Missing Values in Relational Data," Lawrence Livermore National Laboratory Technical Report UCRL-TR-231993, 2007.

2006

Gallagher, B., "Matching Structure and Semantics: A Survey on Graph-Based Pattern Matching," Papers from the AAAI Fall Symposium on Capturing and Using Patterns for Evidence Detection, 2006.

Gallagher, B., "The State of the Art in Graph-Based Pattern Matching," Lawrence Livermore National Laboratory Technical Report UCRL-TR-220300, 2006.

Burgess, J., B. Gallagher, D. Jensen, and B.N. Levine, "MaxProp: Routing for Vehicle-Based Disruption-Tolerant Networking," Proceedings of the 25th IEEE International Conference on Computer Communications (INFOCOM), 2006.

2005

Gallagher, B., D. Jensen, and B.N. Levine, "Explaining Routing Performance in Disruption Tolerant Networks," University of Massachusetts Amherst, Technical Report 05-57, 2005.

2004

Jensen, D., J. Neville, and B. Gallagher, "Why Collective Inference Improves Relational Classification," Proceedings of The 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004.

2003

Neville, J., D. Jensen, and B. Gallagher, "Simple Estimators for Relational Bayesian Classifiers," Proceedings of The Third IEEE International Conference on Data Mining, 2003.

McGovern, A., L. Friedland, M. Hay, B. Gallagher, A. Fast, J. Neville and D. Jensen, "Exploiting Relational Structure to Understand Publication Patterns in High-Energy Physics," SIGKDD Explorations, Volume 5, Issue 2, pages 165-172, December 2003 (Winning entry: KDD Cup 2003 Open Task, Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2003).

Neville, J., D. Jensen, B. Gallagher and R. Fairgrieve, "Simple Estimators for Relational Bayesian Classifers," University of Massachusetts Amherst, Technical Report 03-04, 2003.


Updated: 2010-04-02 11:15:12