Publications

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Getoor L, Diehl CP.  2005.  Link mining: a survey. ACM SIGKDD Explorations Newsletter. 7(2):3-12.
Getoor L.  2003.  Learning Structure From Statistical Models. IEEE Data Engineering Bulletin. 26(3):11-18.
Getoor L, Koller D, Friedman N.  2000.  From instances to classes in probabilistic relational models. Proc. ICML 2000 Workshop on Attribute-Value and Relational Learning.
Getoor L.  2005.  Link-based classification. Advanced methods for knowledge discovery from complex data. :189-207.
Getoor L.  2007.  Combining Tuple and Attribute Uncertainty in Probabilistic Databases. The first international VLDB workshop on Management of Uncertain Data. :1-1.
Getoor L, Taskar B, Koller D.  2001.  Selectivity estimation using probabilistic models. ACM SIGMOD Record. 30(2):461-472.
Getoor L, Friedman N, Koller D, Pfeffer A, Taskar B.  2007.  Probabilistic Relational Models. Introduction to Statistical Relational LearningIntroduction to Statistical Relational Learning. :129-129.
Getoor L.  2003.  Structure discovery using statistical relational learning. Data Engineering. 51:10-10.
Getoor L, Diehl CP.  2005.  Introduction to the special issue on link mining. ACM SIGKDD Explorations Newsletter. 7(2):1-2.
Getoor L, Friedman N, Taskar B.  2001.  Probabilistic models of relational structure. In Proc. ICML.
Getoor L, Sahami M.  1999.  Using probabilistic relational models for collaborative filtering. Proc. Workshop Web Usage Analysis and User Profiling (WEBKDD’99).
Getoor L, Friedman N, Koller D.  2002.  Learning structured statistical models from relational data. Linköping Electronic Articles in Computer and Information Science. 7:13-13.
Getoor L.  2003.  Link mining: a new data mining challenge. ACM SIGKDD Explorations Newsletter. 5(1):84-89.
Getoor L, Rhee JT, Koller D, Small P.  2004.  Understanding tuberculosis epidemiology using structured statistical models. Artificial Intelligence in Medicine. 30(3):233-256.
Getoor L, Friedman N, Koller D, Taskar B.  2001.  Learning probabilistic models of relational structure. MACHINE LEARNING-INTERNATIONAL WORKSHOP. :170-177.
Getoor L, Mihalkova L.  2011.  Exploiting statistical and relational information on the web and in social media. Proceedings of the fourth ACM international conference on Web search and data mining. :9-10.
Getoor L, Segal E, Taskar B, Koller D.  2001.  Probabilistic models of text and link structure for hypertext classification. IJCAI workshop on text learning: beyond supervision. :24-29.
Getoor L.  2000.  Learning probabilistic relational models. Abstraction, Reformulation, and Approximation. :322-323.
Getoor L, Ottosson G, Fromherz M, Carlson B.  1997.  Effective redundant constraints for online scheduling. PROCEEDINGS OF THE NATIONAL CONFERENCE ON ARTIFICIAL IN℡LIGENCE. :302-307.
Getoor L.  2005.  Tutorial on statistical relational learning. Inductive Logic Programming. :415-415.
Getoor L.  2001.  Multi-Relational Data Mining using Probabilistic Models Research Summary. Proc. Of 1st workshop in MRDM.
Getoor L.  2010.  Graph Identification. Advances in Intelligent Data Analysis IX: 9th International Symposium. :6-6.
Getoor L, Taskar B.  2007.  Introduction to Statistical Relational Learning. :602.
Gershon N, Card SK, Roth SF, Shneiderman B.  1994.  Visualization in the information highway. Proceedings of the conference on Visualization '94. :4-7.
Gershon AL, Gyger LS, Bruck HA, Gupta SK.  2009.  In Situ Characterization and Modeling of Strains near Embedded Electronic Components During Processing and Break-in for Multifunctional Polymer Structures. Advances in Mathematical Modeling and Experimental Methods for Materials and Structures. 168:145-159.

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