Publications

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2008
Zheleva, E., Getoor, L., Golbeck, J. & Kuter, U. Using Friendship Ties and Family Circles for Link Prediction. 2nd ACM SIGKDD Workshop on Social Network Mining and Analysis (SNA-KDD) (2008).PDF icon zheleva-snakdd08.pdf (656.31 KB)
2007
Kang, H., Getoor, L. & Singh, L. C-GROUP: A Visual Analytic Tool for Pairwise Analysis of Dynamic Group Membership. Visual Analytics Science and Technology (VAST) (2007).PDF icon vast07-kang.pdf (663.26 KB)
Islamaj, R., Getoor, L. & W. Wilbur, J. Characterizing RNA secondary-structure features and their effects on splice-site prediction. IEEE ICDM Workshop on Mining and Management of Biological Data (2007).
Bhattacharya, I. & Getoor, L. Collective Entity Resolution In Relational Data. ACM Transactions on Knowledge Discovery from Data 1, 1-36 (2007).PDF icon bhattacharya-tkdd.pdf (346.13 KB)
Bilgic, M., Namata, G. Mark & Getoor, L. Combining Collective Classification and Link Prediction. Workshop on Mining Graphs and Complex Structures at the IEEE International Conference on Data Mining (ICDM-2007) (2007).PDF icon mgcs07.pdf (105.13 KB)
Udrea, O. & Getoor, L. Combining statistical and logical inference for ontology alignment. Workshop on Semantic Web for Collaborative Knowledge Acquisition at the International Joint Conference on Artificial Intelligence (2007).
Namata, G. Mark, Staats, B., Getoor, L. & Shneiderman, B. A Dual-View Approach to Interactive Network Visualization. ACM Conference on Information and Knowledge Management (2007).PDF icon cikm0671-namata.pdf (376.54 KB)
Islamaj, R., Getoor, L. & W. Wilbur, J. Computational Methods of Feature Selection (Liu, H. & Motoda, H.) (Chapman and Hall/CRC Press, 2007).
Islamaj, R., Getoor, L., W. Wilbur, J. & Mount, S. Features generated for computational splice-site prediction correspond to functional elements. BMC Bioinformatics 8, (2007).
Kang, H., Sehgal, V. & Getoor, L. GeoDDupe: A Novel Interface for Interactive Entity Resolution in Geospatial Data. International Conference on Information Visualization (IEEE Computer Society, 2007).PDF icon kangiv07.pdf (1.34 MB)
Koller, D., Friedman, N., Getoor, L. & Taskar, B. An Introduction to Statistical Relational Learning (Getoor, L. & Taskar, B.) (MIT Press, 2007).PDF icon srlbook-ch2.pdf (513.11 KB)
Koller, D., Friedman, N., Getoor, L. & Taskar, B. An Introduction to Statistical Relational Learning (Getoor, L. & Taskar, B.) (MIT Press, 2007).PDF icon srlbook-ch2.pdf (513.11 KB)
Udrea, O., Getoor, L. & Miller, R. HOMER: Ontology Alignment Visualization and Analysis. (2007).PDF icon getoor-homer07.pdf (125.38 KB)
Udrea, O., Miller, R. & Getoor, L. HOMER: Ontology visualization and analysis. Demo Presentation at International Semantic Web Conference (ISWC) (2007).PDF icon homer.pdf (125.38 KB)
Singh, L. & Getoor, L. Increasing the predictive power of affiliation networks. IEEE Data Engineering Bulletin 30, (2007).PDF icon singh.pdf (87.94 KB)
Getoor, L. & Taskar, B. Introduction to Statistical Relational Learning. (The MIT Press, 2007).
Udrea, O., Getoor, L. & Miller, R. Leveraging Data and Structure in Ontology Integration. Proceedings of ACM-SIGMOD 2007 International Conference on Management 449–460 (2007).PDF icon p449.pdf (509.48 KB)
Sen, P. & Getoor, L. Link-based Classification. (2007).PDF icon senum-tr07.pdf (511.11 KB)
Bhattacharya, I. & Getoor, L. Online Collective Entity Resolution. The 22nd National Conference on Artificial Intelligence (NECTAR Track) (AAAI Press, 2007).PDF icon nectar07.pdf (395.24 KB)
Zheleva, E. & Getoor, L. Preserving the Privacy of Sensitive Relationships in Graph Data. First ACM SIGKDD Workshop on Privacy, Security, and Trust in KDD (PinKDD 2007) (2007).PDF icon zheleva-pinkdd07.pdf (373.86 KB)
Hung, E., Getoor, L. & Subrahmanian, V. S. Probabilistic Interval XML. ACM Transactions on Computational Logic (TOCL) (2007).
Getoor, L., Friedman, N., Koller, D., Pfeffer, A. & Taskar, B. An Introduction to Statistical Relational Learning (Getoor, L. & Taskar, B.) (MIT Press, 2007).PDF icon srlbook-ch5.pdf (648.15 KB)
Getoor, L., Friedman, N., Koller, D., Pfeffer, A. & Taskar, B. An Introduction to Statistical Relational Learning (Getoor, L. & Taskar, B.) (MIT Press, 2007).PDF icon srlbook-ch5.pdf (648.15 KB)
Bhattacharya, I. & Getoor, L. Query-time Entity Resolution. Journal of Artificial Intelligence Research (JAIR) 30, 621–657 (2007).PDF icon bhattacharya07a.pdf (309.63 KB)
Diehl, C., Namata, G. Mark & Getoor, L. Relationship Identification for Social Network Discovery. AAAI '07: Proceedings of the 22nd National Conference on Artificial Intelligence (2007).PDF icon diehl-aaai07.pdf (139.6 KB)
Sen, P., Deshpande, A. & Getoor, L. Representing Tuple and Attribute Uncertainty in Probabilistic Databases. Workshop on Data Mining of Uncertain Data (ICDM) (2007).PDF icon dune07.pdf (176.67 KB)
Islamaj, R., Getoor, L., W. Wilbur, J. & Mount, S. SplicePort - An interactive splice-site analysis tool. Nucleic Acids Research (2007).PDF icon dogan-nar.pdf (1.34 MB)
Bilgic, M. & Getoor, L. VOILA: Efficient Feature-value Acquisition for Classification. AAAI '07: Proceedings of the 22nd National Conference on Artificial Intelligence (2007).PDF icon bilgic-aaai07.pdf (220.47 KB)
Kang, H., Getoor, L. & Singh, L. Visual Analysis of Dynamic Group Membership in Temporal Social Networks. SIGKDD Explorations, Special Issue on Visual Analytics 9, 13-21 (2007).PDF icon 2_kang-CGROUP_1207.pdf (1.48 MB)
Singh, L., Beard, M., Getoor, L. & M. Blake, B. Visual mining of multi-modal social networks at different abstraction levelsx. L. Singh, M. Beard, L. Getoor, M. Blake. Visual mining of multi-modal social networks at different abstraction levels. IEEE Conference on Information Visualization - Symposium of Visual Data Mining (IV-VDM) (2007).PDF icon singh2007IV.pdf (809.15 KB)
2006
Bhattacharya, I. & Getoor, L. Collective Entity Resolution in Relational Data. Data Engineering Bulletin 29, (2006).
Sen, P. & Getoor, L. Cost-Sensitive Learning with Conditional Markov Networks. SIAM Data Mining Workshop on Link Analysis, Counterterrorism and Security (2006).PDF icon sensiam_lacs06.pdf (137.37 KB)
Sen, P. & Getoor, L. Cost-Sensitive Learning with Conditional Markov Networks. International Conference on Machine Learning (2006).PDF icon senicml06.pdf (118.33 KB)
Bilgic, M., Licamele, L., Getoor, L. & Shneiderman, B. D-Dupe: An Interactive Tool for Entity Resolution in Social Networks. Visual Analytics Science and Technology (VAST) (2006).
Sen, P. & Getoor, L. Empirical Comparison of Approximate Inference Algorithms for Networked Data. ICML Workshop on Statistical Relational Learning (SRL) (2006).PDF icon sensrl06.pdf (225.32 KB)
Sehgal, V., Getoor, L. & Viechnicki, P. Entity Resolution in Geospatial Data Integration. ACM GIS (2006).
Bhattacharya, I. & Getoor, L. Entity Resolution in Social Networks. International Sunbelt Social Network Conference (Sunbelt XXVI) (2006).
Bhattacharya, I. & Getoor, L. Mining Graph Data (Cook, D. & Holder, L.) (Wiley, 2006).
Zhao, B., Sen, P. & Getoor, L. Event Classification and Relationship Labeling in Affiliation Networks. ICML Workshop on Statistical Network Analysis (SNA) (2006).PDF icon zhaosna06.pdf (360.25 KB)
Islamaj, R., Getoor, L. & W. Wilbur, J. Feature Generation Algorithm: an Application to Splice Site Prediction. Knowledge Discovery in Databases: PKDD 2006 4213, 553-560 (Springer, 2006).PDF icon rezarta-pkdd.pdf (163.92 KB)
Islamaj, R., Getoor, L. & W. Wilbur, J. A Feature Generation Algorithm for Sequences with Application to Splice Site Prediction. International Workshop on Feature Selection for Data Mining (FSDM) (2006).
Namata, G. Mark, Getoor, L. & Diehl, C. Inferring Organizational Titles in Online Communications. ICML Workshop on Statistical Network Analysis (2006).PDF icon icml2006_ExtAbst.pdf (72.39 KB)
Getoor, L. An Introduction to Probabilistic Graphical Models for Relational Data. Data Engineering Bulletin 29, (2006).
Bhattacharya, I. & Getoor, L. A Latent Dirichlet Model for Unsupervised Entity Resolution. SIAM Conference on Data Mining (SDM) (2006).PDF icon bhattacharyasdm06.pdf (209.24 KB)
Diehl, C., Getoor, L. & Namata, G. Mark. Name Reference Resolution in Organizational Email Archives. SIAM Conference on Data Mining (SDM) (2006).PDF icon diehlsdm06.pdf (971.2 KB)
Getoor, L. & Grant, J. PRL: A Logical Approach to Probabilistic Relational Models. Machine Learning Journal 62, (2006).PDF icon getoor-mlj06.pdf (685.04 KB)
Licamele, L. & Getoor, L. Predicting Protein-Protein Interactions Using Relational Features. ICML Workshop on Statistical Network Analysis (2006).
Bhattacharya, I., Licamele, L. & Getoor, L. Query-Time Entity Resolution. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2006).PDF icon kdd06.pdf (183.45 KB)
Bhattacharya, I., Licamele, L. & Getoor, L. Relational Clustering for Entity Resolution Queries. ICML Workshop on Statistical Relational Learning (SRL) (2006).PDF icon bhattacharyaicml06-wkshp.pdf (195.79 KB)
Licamele, L. & Getoor, L. Social Capital in Friendship-Event Networks. IEEE International Conference on Data Mining (ICDM) (2006).

Pages