Publications

Export 319 results:
Author Title [ Year(Asc)]
2007
M. Bilgic and Getoor, L., “VOILA: Efficient Feature-value Acquisition for Classification”, in AAAI '07: Proceedings of the 22nd National Conference on Artificial Intelligence, 2007.PDF icon bilgic-aaai07.pdf (220.47 KB)
H. Kang, Getoor, L., and Singh, L., “Visual Analysis of Dynamic Group Membership in Temporal Social Networks”, SIGKDD Explorations, Special Issue on Visual Analytics, vol. 9, pp. 13-21, 2007.PDF icon 2_kang-CGROUP_1207.pdf (1.48 MB)
L. Singh, Beard, M., Getoor, L., and M. Blake, B., “Visual mining of multi-modal social networks at different abstraction levelsx”, in 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
I. Bhattacharya, “Collective Entity Resolution In Relational Data”, University of Maryland, College Park, 2006.PDF icon thesis.pdf (761.21 KB)
I. Bhattacharya and Getoor, L., “Collective Entity Resolution in Relational Data”, Data Engineering Bulletin, vol. 29, 2006.
P. Sen and Getoor, L., “Cost-Sensitive Learning with Conditional Markov Networks”, in SIAM Data Mining Workshop on Link Analysis, Counterterrorism and Security, 2006.PDF icon sensiam_lacs06.pdf (137.37 KB)
P. Sen and Getoor, L., “Cost-Sensitive Learning with Conditional Markov Networks”, in International Conference on Machine Learning, 2006.PDF icon senicml06.pdf (118.33 KB)
M. Bilgic, Licamele, L., Getoor, L., and Shneiderman, B., “D-Dupe: An Interactive Tool for Entity Resolution in Social Networks”, in Visual Analytics Science and Technology (VAST), Baltimore, 2006.
P. Sen and Getoor, L., “Empirical Comparison of Approximate Inference Algorithms for Networked Data”, in ICML Workshop on Statistical Relational Learning (SRL), 2006.PDF icon sensrl06.pdf (225.32 KB)
V. Sehgal, Getoor, L., and Viechnicki, P., “Entity Resolution in Geospatial Data Integration”, in ACM GIS, 2006.
I. Bhattacharya and Getoor, L., “Entity Resolution in Social Networks”, in International Sunbelt Social Network Conference (Sunbelt XXVI), 2006.
I. Bhattacharya and Getoor, L., Entity Resolutions in Graphs, 1st ed., vol. 1. Wiley, 2006, p. 311--344.PDF icon bhattacharya-book06.pdf (482.5 KB)
B. Zhao, Sen, P., and Getoor, L., “Event Classification and Relationship Labeling in Affiliation Networks”, in ICML Workshop on Statistical Network Analysis (SNA), 2006.PDF icon zhaosna06.pdf (360.25 KB)
R. Islamaj, Getoor, L., and W. Wilbur, J., “Feature Generation Algorithm: an Application to Splice Site Prediction”, in Knowledge Discovery in Databases: PKDD 2006, Berlin, Germany, 2006, vol. 4213, pp. 553-560.PDF icon rezarta-pkdd.pdf (163.92 KB)
R. Islamaj, Getoor, L., and W. Wilbur, J., “A Feature Generation Algorithm for Sequences with Application to Splice Site Prediction”, in International Workshop on Feature Selection for Data Mining (FSDM), Bethesda, Maryland, 2006.
G. Mark Namata, Getoor, L., and Diehl, C., “Inferring Organizational Titles in Online Communications”, in ICML Workshop on Statistical Network Analysis, 2006.PDF icon icml2006_ExtAbst.pdf (72.39 KB)
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.
2001
L. Getoor, Friedman, N., Koller, D., and Taskar, B., “Learning Probabilistic Models of Relational Structure”, in Proceedings of International Conference on Machine Learning (ICML), 2001.PDF icon icml01.pdf (157.91 KB)
L. Getoor, Friedman, N., Koller, D., and Pfeffer, A., Learning Probabilistic Relational Models, 1st ed., vol. 1. Springer-Verlag, 2001, p. 307--335.
L. Getoor, Friedman, N., Koller, D., and Pfeffer, A., “Learning Probabilistic Relational Models”, in Relational Data Mining, 2001.PDF icon lprm-ch.pdf (376 KB)
L. Getoor, “Learning Statistical Models from Relational Data”, Stanford, 2001.PDF icon getoor-thesis.pdf (3.39 MB)

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