Publications

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2006
L. Getoor, An Introduction to Probabilistic Graphical Models for Relational Data, Data Engineering Bulletin, vol. 29, 2006.
I. Bhattacharya and Getoor, L., A Latent Dirichlet Model for Unsupervised Entity Resolution, in SIAM Conference on Data Mining (SDM), 2006.PDF icon bhattacharyasdm06.pdf (209.24 KB)
C. Diehl, Getoor, L., and Namata, G. Mark, Name Reference Resolution in Organizational Email Archives, in SIAM Conference on Data Mining (SDM), 2006.PDF icon diehlsdm06.pdf (971.2 KB)
L. Getoor and Grant, J., PRL: A Logical Approach to Probabilistic Relational Models, Machine Learning Journal, vol. 62, 2006.PDF icon getoor-mlj06.pdf (685.04 KB)
L. Licamele and Getoor, L., Predicting Protein-Protein Interactions Using Relational Features, in ICML Workshop on Statistical Network Analysis, 2006.
I. Bhattacharya, Licamele, L., and Getoor, L., Query-Time Entity Resolution, in ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006.PDF icon kdd06.pdf (183.45 KB)
I. Bhattacharya, Licamele, L., and Getoor, L., Relational Clustering for Entity Resolution Queries, in ICML Workshop on Statistical Relational Learning (SRL), 2006.PDF icon bhattacharyaicml06-wkshp.pdf (195.79 KB)
L. Licamele and Getoor, L., Social Capital in Friendship-Event Networks, in IEEE International Conference on Data Mining (ICDM), 2006.
G. Piatetsky-Shapiro, Grossman, R., Djeraba, C., Feldman, R., Getoor, L., and Zaki, M., Is there a grand challenge or X-prize for data mining?, in 12th International Conference on Knowledge Discovery and Data Mining, 2006.
2005
M. desJardins, Rathod, P., and Getoor, L., Bayesian Network Learning with Abstraction Hierarchies and Context-Specific Independence, in 16th European Conference on Machine Learning (ECML), 2005.
L. Licamele, Bilgic, M., Getoor, L., and Roussopoulos, N., Capital and Benefit in Social Networks, in ACM SIGKDD Workshop on Link Analysis and Group Detection (LinkKDD), 2005.PDF icon licamele_linkkdd05.pdf (421.14 KB)
M. Bilgic, Licamele, L., Getoor, L., and Shneiderman, B., D-Dupe: An Interactive Tool for Entity Resolution in Social Networks, in International Symposium on Graph Drawing, 2005, vol. 3843, pp. 505–507.PDF icon ddupe.pdf (224.93 KB)
L. Getoor and Diehl, C., Link Mining: A Survey, SigKDD Explorations Special Issue on Link Mining, vol. 7, 2005.
L. Getoor, Link-based Classification, 1st ed., vol. 1. Springer-Verlag, 2005, p. 189--207.PDF icon getoor-book05.pdf (273.43 KB)
L. Singh, Getoor, L., and Licamele, L., Pruning Social Networks Using Structural Properties and Descriptive Attributes, in IEEE International Conference on Data Mining (ICDM), 2005, pp. 773-776.PDF icon singh_icdm05.pdf (149.45 KB)
I. Bhattacharya and Getoor, L., Relational Clustering for Multi-type Entity Resolution, in ACM SIGKDD Workshop on Multi Relational Data Mining (MRDM), 2005.PDF icon bhattacharyakdd05-whskp.pdf (259.82 KB)
2004
I. Bhattacharya and Getoor, L., Deduplication and Group Detection using Links, in ACM SIGKDD Workshop on Link Analysis and Group Detection (LinkKDD), 2004.PDF icon bhattacharyakdd04-whskp.pdf (231.67 KB)
I. Bhattacharya and Getoor, L., Iterative Record Linkage for Cleaning and Integration, in ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery (DMKD), 2004.PDF icon bhattacharyasigmod04-wkshp.pdf (222.38 KB)
L. Getoor, Rhee, J., Koller, D., and Small, P., Understanding Tuberculosis Epidemiology Using Probabilistic Relational Models, AI in Medicine Journal, vol. 30, pp. 233-256, 2004.
I. Bhattacharya, Getoor, L., and Bengio, Y., Unsupervised Sense Disambiguation using Bilingual Probabilistic Models, in Annual Meeting of the Association for Computational Linguistics (ACL), 2004.PDF icon acl04.pdf (156.26 KB)
K. Lerman, Getoor, L., Minton, S., and Knoblock, C., Using the Structure of Web Sites for Automatic Segmentation of Tables, in In Proceedings of ACM-SIGMOD 2004 International Conference on Management of Data, 2004.PDF icon lerman-sigmod04.pdf (307.43 KB)
2003
L. Getoor, Link Mining: A New Data Mining Challenge, SIGKDD Explorations, volume, vol. 5, p. 85- -89, 2003.
Q. Lu and Getoor, L., Link-based Classification, in Proceedings of the International Conference on Machine Learning (ICML), 2003.PDF icon lu-icml03.pdf (195.81 KB)
Q. Lu and Getoor, L., Link-based Classification Using Labeled and Unlabeled Data, in ICML Workshop on "The Continuum from Labeled to Unlabeled Data in Machine Learning and Data Mining, 2003.PDF icon icml03-ws.pdf (274.65 KB)
Q. Lu and Getoor, L., Link-based Text Classification, in IJCAI Workshop on "Text Mining and Link Analysis", 2003.PDF icon ijcai03-ws.pdf (97.25 KB)
E. Hung, Getoor, L., and Subrahmanian, V. S., PXML: A Probabilistic Semistructured Data Model and Algebra, in Proceedings of the IEEE International Conference on Data Engineering, 2003.
E. Hung, Getoor, L., and Subrahmanian, V. S., Probabilistic Interval XML, in Proceedings of the International Conference on Database Theory, 2003.
L. Getoor, Structure Discovery Using Statistical Relational Learning, Data Engineering Bulletin, vol. 26, p. 11- -18, 2003.
2002
L. Getoor, Friedman, N., Koller, D., and Taskar, B., Learning Probabilistic Models of Link Structure, Journal of Machine Learning Research, vol. 3, p. 679- -707, 2002.PDF icon jmlr02.pdf (502.22 KB)
L. Getoor, Friedman, N., and Koller, D., Learning Structured Statistical Models from Relational Data, Electronic Transactions on Artificial Intelligence, vol. 6, 2002.
2000
L. Getoor, Koller, D., and Friedman, N., From Instances to Classes in Probabilistic Relational Models, in Proceedings of the ICML Workshop on Attribute-Value and Relational Learning: Crossing the Boundaries, 2000.
L. Getoor, Koller, D., and Friedman, N., From Instances to Classes in Probabilistic Relational Models, in Proceedings of the ICML Workshop on Attribute-Value and Relational Learning: Crossing the Boundaries, 2000.
L. Getoor, Koller, D., Taskar, B., and Friedman, N., Learning Probabilistic Relational Models with Structural Uncertainty, in Proceedings of the AAAI Workshop on Learning Statistical Models from Relational Data, 2000.
M. desJardins, Getoor, L., and Koller, D., Using Feature Hierarchies in Bayesian Network Learning, in Symposium on Abstraction, Reformulation and Approximation, 2000.
1999
N. Friedman and Getoor, L., Efficient Learning Using Constrained Sufficient Statistics, in Uncertainty99, 1999.
N. Friedman, Getoor, L., Koller, D., and Pfeffer, A., Learning Probabilistic Relational Models, in International Joint Conference on Arti cial Intelligence, 1999.PDF icon icjai99.pdf (156.94 KB)
L. Getoor and Sahami, M., Using Probabilistic Relational Models for Collaborative Filtering, in Working Notes of the KDD Workshop on Web Usage Analysis and User Profiling, 1999.
1998
U. Chajewska, Norman, J., and Getoor, L., Using Classi cation Techniques for Utility Elicitation: A Comparison between StandardGamble and Visual Analog Scale Methods, in Twentieth Anniversary Meeting of the Society for Medical Decision Making, 1998.
U. Chajewska, Getoor, L., Norman, J., and Shahar, Y., Utility Elicitation as a Classi cation Problem, in Uncertainty in Arti cial Intelligence, 1998.
U. Chajewska, Getoor, L., and Norman, J., Utility Elicitation as a Classification Problem, in Proceedings of the AAAI Spring Symposium Series on Interactive and Mixed Initiative Decision-Theoretic Systems, 1998.
1997
L. Getoor, Ottosson, G., Fromherz, M., and Carlson, B., Effictive Redundant Constraints for Online Scheduling, in Proceedings of the Fourteenth national Conference on Artificial Intelligence, 1997.
L. Getoor and Fromherz, M., Online Scheduling for Reprographic Machines, in Working notes AAAI Workshop on Online Search, 1997.
1995
A. Lansky, Friedman, M., Getoor, L., Schmidler, S., and Jr., N. Short, The Collage/Khoros Link: Planning for Image Processing Tasks, in Proceedings of the AAAI Spring Symposium on Integrated Planning Applications, 1995.

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