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Year any20202019201820172016201520142013201220112010200920082007200620052004200320022001200019991998199719951994

Keyword anyCognitionComparative AnalysisComplexity theoryData engineeringDiscussion ForumsFirst-order probabilistic modelsHL-MRFsKnowledge engineeringLDALifted inference and learningMOOCMOOC Discussion ForumsMOOCsMetadataModel ComparisonOnline CoursesPAC-BayesPar-factor graphsProbabilistic logicProbabilistic programmingSRLSchema mappingSeeded LDASocio-behavioral modelsStatistical relational learningTask analysisTemplated graphical modelsUncertain GraphsVisualizing Uncertaintyanonymity onlinebioinformatics gene expression analysis antipsychotic pharmacogeneticscollective classificationcollective mapping discoverydata integrationdefectfeature generationfunctional biological signalsgene expression bioinformatics drug therapeuticsgeneralization boundsgroupshigh school MOOCsinference mechanismsinfluencelatent variable modelslearner engagementlearning analyticslearning theorymeta dataonline educationoptimisationoptimizationpotential mappingsprivacyprobabilistic modelingprobabilistic reasoning techniquesprobabilistic soft logicprobabilityprofessional networksschema mapping optimization problemsearchsensitive attribute inferencesocial mediasocial networkssplice-sitestatistical relational languagestructured predictionstudent learningtutorialuncertainty handlingweb

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2006

Bhattacharya, I. & Getoor, L. Entity Resolution in Social Networks. International Sunbelt Social Network Conference (Sunbelt XXVI) (2006).

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Bhattacharya, I. & Getoor, L. Entity Resolutions in Graphs. Mining Graph Data 1, 311--344 (Wiley, 2006).

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bhattacharya-book06.pdf (482.5 KB)

Zhao, B., Sen, P. & Getoor, L. Event Classification and Relationship Labeling in Affiliation Networks. ICML Workshop on Statistical Network Analysis (SNA) (2006).

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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).

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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).

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Namata, G. Mark, Getoor, L. & Diehl, C. Inferring Organizational Titles in Online Communications. ICML Workshop on Statistical Network Analysis (2006).

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icml2006_ExtAbst.pdf (72.39 KB)

Getoor, L. An Introduction to Probabilistic Graphical Models for Relational Data. Data Engineering Bulletin 29, (2006).

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Bhattacharya, I. & Getoor, L. A Latent Dirichlet Model for Unsupervised Entity Resolution. SIAM Conference on Data Mining (SDM) (2006).

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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).

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diehlsdm06.pdf (971.2 KB)

Getoor, L. & Grant, J. PRL: A Logical Approach to Probabilistic Relational Models. Machine Learning Journal 62, (2006).

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getoor-mlj06.pdf (685.04 KB)

Licamele, L. & Getoor, L. Predicting Protein-Protein Interactions Using Relational Features. ICML Workshop on Statistical Network Analysis (2006).

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Bhattacharya, I., Licamele, L. & Getoor, L. Query-Time Entity Resolution. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2006).

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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).

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bhattacharyaicml06-wkshp.pdf (195.79 KB)

Licamele, L. & Getoor, L. Social Capital in Friendship-Event Networks. IEEE International Conference on Data Mining (ICDM) (2006).

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Piatetsky-Shapiro, G. et al. Is there a grand challenge or X-prize for data mining?. 12th International Conference on Knowledge Discovery and Data Mining (2006).

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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).

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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).

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Bhattacharya, I. & Getoor, L. Collective Entity Resolution In Relational Data. ACM Transactions on Knowledge Discovery from Data 1, 1-36 (2007).

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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).

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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).

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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).

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cikm0671-namata.pdf (376.54 KB)

Islamaj, R., Getoor, L., W. Wilbur, J. & Mount, S. Features generated for computational splice-site prediction correspond to functional elements. BMC Bioinformatics 8, (2007).

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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).

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kangiv07.pdf (1.34 MB)

Koller, D., Friedman, N., Getoor, L. & Taskar, B. Graphical Models in a Nutshell. An Introduction to Statistical Relational Learning 1, 13--55 (MIT Press, 2007).

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koller-book07.pdf (513.11 KB)

Koller, D., Friedman, N., Getoor, L. & Taskar, B. Graphical Models in a Nutshell. An Introduction to Statistical Relational Learning 1, 13--55 (MIT Press, 2007).

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koller-book07.pdf (513.11 KB)

Udrea, O., Getoor, L. & Miller, R. HOMER: Ontology Alignment Visualization and Analysis. (2007).

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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).

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homer.pdf (125.38 KB)

Singh, L. & Getoor, L. Increasing the predictive power of affiliation networks. IEEE Data Engineering Bulletin 30, (2007).

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singh.pdf (87.94 KB)

Getoor, L. & Taskar, B. Introduction to Statistical Relational Learning. (The MIT Press, 2007).

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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).

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p449.pdf (509.48 KB)

Sen, P. & Getoor, L. Link-based Classification. (2007).

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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).

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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).

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zheleva-pinkdd07.pdf (373.86 KB)

Hung, E., Getoor, L. & Subrahmanian, V. S. Probabilistic Interval XML. ACM Transactions on Computational Logic (TOCL) (2007).

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Getoor, L., Friedman, N., Koller, D., Pfeffer, A. & Taskar, B. Probabilistic Relational Models. An Introduction to Statistical Relational Learning 1, 129--174 (MIT Press, 2007).

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getoor-book07.pdf (648.15 KB)

Getoor, L., Friedman, N., Koller, D., Pfeffer, A. & Taskar, B. Probabilistic Relational Models. An Introduction to Statistical Relational Learning 1, 129--174 (MIT Press, 2007).

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getoor-book07.pdf (648.15 KB)

Bhattacharya, I. & Getoor, L. Query-time Entity Resolution. Journal of Artificial Intelligence Research (JAIR) 30, 621–657 (2007).

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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).

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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).

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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).

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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).

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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).

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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).

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singh2007IV.pdf (809.15 KB)

2008

Islamaj, R., Getoor, L. & Wilbur, J. A Feature Generation Algorithm with Applications to Biological Sequence Classification. Computational Methods of Feature Selection 1, 355--376 (Chapman and Hall/CRC Press, 2008).

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islamaj-book08.pdf (3.09 MB)

Sen, P. et al. Collective Classification in Network Data. AI Magazine 29, 93–106 (2008).

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sen-aimag08.pdf (497.82 KB)

Bhattacharya, I. & Getoor, L. Collective Relational Clustering. Constrained Clustering: Advances in Algorithms, Theory, and Applications 1, 221-244 (Chapman and Hall, 2008).

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bhattacharya-book08.pdf (10.39 MB)

Sen, P. & Getoor, L. Cost-Sensitive Learning with Conditional Markov Networks. Data Mining and Knowledge Discovery, Special Issue on Utility Based Data Mining 17, 136–163 (2008).

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draft.pdf (424.09 KB)

Bilgic, M. & Getoor, L. Effective Label Acquisition for Collective Classification. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 43–51 (2008).

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bilgic-kdd08.pdf (758.14 KB)

Sen, P., Deshpande, A. & Getoor, L. Exploiting Shared Correlations in Probabilistic Databases. International Conference on Very Large Data Bases (2008).

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sen-vldb08.pdf (232.29 KB)

Saha, B. & Getoor, L. Group Proximity Measure for Recommending Groups in Online Social Networks. 2nd ACM SIGKDD Workshop on Social Network Mining and Analysis (SNA-KDD) (2008).

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kddw-saha.pdf (311.36 KB)

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