Publications

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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.  2007.  Introduction to Statistical Relational Learning.
Getoor L.  2001.  Multi-relational data mining using probabilistic relational models: research summary. In Proceedings of the First Workshop in Multi-relational Data Mining.
Getoor L, Mihalkova L.  2011.  Learning statistical models from relational data. Proceedings of the 2011 international conference on Management of data. :1195-1198.
Getoor L, Taskar B.  2007.  Introduction to Statistical Relational Learning. :602.
Getoor L, Grant J.  2006.  PRL: A probabilistic relational language. Machine Learning. 62(1):7-31.
Getoor L.  2006.  An introduction to probabilistic graphical models for relational data. Data Engineering Bulletin. 29(1)
Getoor L, Licamele L.  2005.  Link Mining for the Semantic Web, Position Statement. Proceedings of the Dagstuhl Seminar in Machine Learning for the Semantic Web.
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.

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