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Author anyAckermann, Chris Aggarwal, Charu Amantullah, Brian Ariel, Fuxman Arredondo, Jaime Arredondo, Jaime Arti, Ramesh Augustine, Eriq Babaki, Behrouz Bach, Stephen H.Bach, Stephen Barash, Vladimir Beard, Mitchell Bengio, Yoshua Bert, Huang Bhattacharya, Indrajit Bhattacharya, Indrajit Bilgic, Mustafa Bilgic, Mustafa Blake, Brian Blondeel, Marjon Borgatti, Steve Boyd-Graber, Jordan Bradley, Skaggs Broecheler, Matthias Broecheler, Matthias Brownstein, John Brownstein, John Butler, Patrick Cadena, Jose Carlson, Bjorn Carstea, Eugene Chajewska, Ursulza Chang, Johnnie Chen, Daozheng Chen, Yunfei Chen, Robert Choi, Jonghyun Cohen, William Cook, Diane Daozheng, Chen Daume, Hal David, Jacobs Davis, Larry Davis, Larry De Cock, Martine Deshpande, Amol Deshpande, Amol Dhanya, Sridhar Diehl, Christopher Dietterich, Thomas Djeraba, Chabane Domingos, Pedro Dong, Xin LunaDong, Luna Dong, Xin LunaDoppa, Janardhan Doyle, Andy Dzeroski, Saso Eirinaki, Magdalini Eliassi-Rad, Tina Elsayed, Tamer Embar, Varun Eric, Norris Fakhraei, Shobeir Fakhraei, Shobeir Faloutsos, Christos Farnadi, Golnoosh Fayed, Youssef Feldman, Ronen Ford, Jim Foulds, James Foulds, James Friedman, Nir Friedman, Nir Friedman, Mark Fromherz, Markus Gallagher, Brian Gazen, Bora C.Getoor, Lise Ghosh, Saurav Ghosh, Saurav Golbeck, Jennifer Golbeck, Jennifer Goldwasser, Dan Goldwasser, Dan Grant, John Grossman, Robert Grycner, Adam Grycner, Adam Guiver, John Gupta, Dipak Gupta, Dipak Haidarian-Shahri, Hamid Halgin, Daniel Han, Jiawei He, Xinran Healy, Patrick Holder, Lawrence Hollis, Victoria Hossam, Sharara Huang, Bert Huang, Bert Hung, Edward Hwang, Heasoo III, Hal DaumeIslamaj, Rezarta Islamaj, Rezarta Isley, Steve Jacobs, David Jaebong, Yoo Janet, Mann Jay, Pujara Jihie, Kim Jr., Nick ShortKang, Jeonhyung Kang, Hyunmo Katz, Graham Katz, Graham Kayali, Moe Khamis, Sameh Khandpur, Rupinder Kim, Sungchul Kimmig, Angelika Kimmig, Angelika Kini, Nikhil Knoblock, Craig Koehly, Laura Koehly, Laura Koh, Eunyee Kok, Stanley Kolcz, Alek Koller, Daphne Koller, Daphne Korkmaz, Gizem Kouki, Pigi Kouki, Pigi Kuhlman, Christopher Kumar, Shachi Kumar, Shachi Kuter, Ugur Lansky, Amy Lauw, Hady Lavedan, Christian Lavrac, Nada Lerman, Kristina Licamele, Louis Lilyana, Mihalkova Lisa, Singh Liu, Xiangyang Liu, Huan Liu, Yan London, Ben London, Ben Lu, Qing Machanavajjhala, Ashwin Machanavajjhala, Ashwin Mack, Kendra Macskassy, Sofus Mann, Janet Marathe, Achla Marcum, Christopher Marcum, Christopher Mares, David Mares, David Maulik, Ujjwal Mekaru, Sumiko Mekaru, Sumiko Memory, Alex Memory, Alex Miao, Hui Miao, Hui Michelson, Matthew Mihalkova, Lilyana Milic-Frayling, Natasa Miller, Renee Miller, Renee JMinton, Steve Minton, Steven Mitkus, Shruti Moens, Marie-Francine Motoda, Hiroshi Mount, Stephen Moustafa, Walaa EldinMoustafa, Walaa Moustafa, Walaa Muggleton, Stephen Mustafa, Bilgic Muthiah, Sathappan Myra, Norton Namata, Galileo MarkNamata, Galileo Namata, Galileo Navlakha, Saket Nikolov, Nikola S.Norman, Joseph Norton, Myra Nsoesie, Elaine Nsoesie, Elaine Ntoulas, Alexcandros O'Donovan, John O'Leary, Dianne ODonovan, John Oard, Doug Odonovan, John Onukwugha, Eberechukwu Ottosson, Gregor Panagiotis, Papadimitriou Panayiotis, Tsaparas Parikh, Harsh Pfeffer, Avi Pfeffer, Avi Piatetsky-Shapiro, Gregory Plangprasopchok, Anon Polymeropoulos, Mihales Polyzotis, Neoklis Pujara, Jay Pujara, Jay Ramakrishnan, Naren Ramakrishnan, Naren Ramesh, Arti Ramesh, Arti Rand, William Rao, Nikhil SRaschid, Louiqa Raschid, Louiqa Rastegari, Mohammad Rathod, Priyang Rekatsinas, Theodoros Rekatsinas, Theodoros Rhee, Jeanne Riloff, Ellen Rodrigues, Eduarda MendesRodriguez, Mario Roussopoulos, Nick Roy, Sudeepa Saha, Barna Sahami, Mehran Salami, Babak Saraf, Parang Sarawagi, Sunita Sayyadi, Hassan Schaffer, James Schaffer, James Scheffer, Tobias Schmidler, Scott Schnaitter, Karl See, Kane Segal, Eran Sehgal, Vivek Self, Nathan Sen, Prithviraj Sen, Prithviraj Shahar, Yuval Sharara, Hossam Sharara, Hossam Shashanka, Madhusudana Shitian, Shen Shneiderman, Ben Singh, Lisa Sisman, Bunyamin Skomoroch, Peter Small, Peter Smith, Marc Somasundaran, Swapna Sopan, Awalin Springer, Aaron Sridhar, Dhanya Srinivasan, Aravind Srinivasan, Sriram Srivastava, Ashok Srivastava, Divesh Srivastava, Divesh Staats, Brian Stephen, Bach Subbaian, Karthik Subrahmanian, V. S.Suciu, Dan Summers, Kristin Tadepalli, Prasad Taskar, Benjamin Terzi, Evimaria Thompson, Spencer K.Ting, Hua Tom, Yeh Tomkins, Sabina Tomkins, Sabina Trinh, Khoa Udrea, Octavian Viechnicki, Peter Volpi, Simona Vullikanti, Anil Walker, Marilyn Wang, Wei Wei, Hao Weikum, Gerhard Weikum, Gerhard Welser, Howard Whittaker, Steve Wiebe, Janyce Wilbur, John Wilbur, John Yu, Philip Yu, Jun Zaki, Mohammed Zavorin, Ilya Zhang, Yi Zhang, Yue Zhao, Liang Zhao, Bin Zheleva, Elena Zheleva, Elena desJardins, Marie

Type anyConference PaperJournal ArticleThesisTutorialBookUnpublished

Term any

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

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

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I. Bhattacharya and Getoor, L., Entity Resolutions in Graphs, 1st ed., vol. 1. Wiley, 2006, p. 311--344.

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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.

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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.

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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.

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G. Mark Namata, Getoor, L., and Diehl, C., “Inferring Organizational Titles in Online Communications”, in ICML Workshop on Statistical Network Analysis, 2006.

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icml2006_ExtAbst.pdf (72.39 KB)

L. Getoor, “An Introduction to Probabilistic Graphical Models for Relational Data”, Data Engineering Bulletin, vol. 29, 2006.

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

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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.

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diehlsdm06.pdf (971.2 KB)

L. Getoor and Grant, J., “PRL: A Logical Approach to Probabilistic Relational Models”, Machine Learning Journal, vol. 62, 2006.

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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.

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I. Bhattacharya, Licamele, L., and Getoor, L., “Query-Time Entity Resolution”, in ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006.

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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.

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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.

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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.

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2007

H. Kang, Getoor, L., and Singh, L., “C-GROUP: A Visual Analytic Tool for Pairwise Analysis of Dynamic Group Membership”, in Visual Analytics Science and Technology (VAST), 2007.

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vast07-kang.pdf (663.26 KB)

R. Islamaj, Getoor, L., and W. Wilbur, J., “Characterizing RNA secondary-structure features and their effects on splice-site prediction”, in IEEE ICDM Workshop on Mining and Management of Biological Data, 2007.

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I. Bhattacharya and Getoor, L., “Collective Entity Resolution In Relational Data”, ACM Transactions on Knowledge Discovery from Data, vol. 1, pp. 1-36, 2007.

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bhattacharya-tkdd.pdf (346.13 KB)

M. Bilgic, Namata, G. Mark, and Getoor, L., “Combining Collective Classification and Link Prediction”, in 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)

O. Udrea and Getoor, L., “Combining statistical and logical inference for ontology alignment”, in Workshop on Semantic Web for Collaborative Knowledge Acquisition at the International Joint Conference on Artificial Intelligence, 2007.

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G. Mark Namata, Staats, B., Getoor, L., and Shneiderman, B., “A Dual-View Approach to Interactive Network Visualization”, in ACM Conference on Information and Knowledge Management, 2007.

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cikm0671-namata.pdf (376.54 KB)

R. Islamaj, Getoor, L., W. Wilbur, J., and Mount, S., “Features generated for computational splice-site prediction correspond to functional elements”, BMC Bioinformatics, vol. 8, 2007.

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H. Kang, Sehgal, V., and Getoor, L., “GeoDDupe: A Novel Interface for Interactive Entity Resolution in Geospatial Data”, in International Conference on Information Visualization, 2007.

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kangiv07.pdf (1.34 MB)

D. Koller, Friedman, N., Getoor, L., and Taskar, B., Graphical Models in a Nutshell, 1st ed., vol. 1. MIT Press, 2007, p. 13--55.

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koller-book07.pdf (513.11 KB)

D. Koller, Friedman, N., Getoor, L., and Taskar, B., Graphical Models in a Nutshell, 1st ed., vol. 1. MIT Press, 2007, p. 13--55.

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koller-book07.pdf (513.11 KB)

O. Udrea, Getoor, L., and Miller, R., “HOMER: Ontology Alignment Visualization and Analysis”. 2007.

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getoor-homer07.pdf (125.38 KB)

O. Udrea, Miller, R., and Getoor, L., “HOMER: Ontology visualization and analysis”, in Demo Presentation at International Semantic Web Conference (ISWC), 2007.

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homer.pdf (125.38 KB)

L. Singh and Getoor, L., “Increasing the predictive power of affiliation networks.”, IEEE Data Engineering Bulletin, vol. 30, 2007.

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singh.pdf (87.94 KB)

L. Getoor and Taskar, B., Introduction to Statistical Relational Learning. The MIT Press, 2007.

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O. Udrea, Getoor, L., and Miller, R., “Leveraging Data and Structure in Ontology Integration”, in Proceedings of ACM-SIGMOD 2007 International Conference on Management, 2007, pp. 449–460.

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p449.pdf (509.48 KB)

P. Sen and Getoor, L., “Link-based Classification”. University of Maryland, 2007.

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senum-tr07.pdf (511.11 KB)

I. Bhattacharya and Getoor, L., “Online Collective Entity Resolution”, in The 22nd National Conference on Artificial Intelligence (NECTAR Track), 2007.

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nectar07.pdf (395.24 KB)

E. Zheleva and Getoor, L., “Preserving the Privacy of Sensitive Relationships in Graph Data”, in First ACM SIGKDD Workshop on Privacy, Security, and Trust in KDD (PinKDD 2007), 2007.

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zheleva-pinkdd07.pdf (373.86 KB)

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

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L. Getoor, Friedman, N., Koller, D., Pfeffer, A., and Taskar, B., Probabilistic Relational Models, 1st ed., vol. 1. MIT Press, 2007, p. 129--174.

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getoor-book07.pdf (648.15 KB)

L. Getoor, Friedman, N., Koller, D., Pfeffer, A., and Taskar, B., Probabilistic Relational Models, 1st ed., vol. 1. MIT Press, 2007, p. 129--174.

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getoor-book07.pdf (648.15 KB)

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

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bhattacharya07a.pdf (309.63 KB)

C. Diehl, Namata, G. Mark, and Getoor, L., “Relationship Identification for Social Network Discovery”, in AAAI '07: Proceedings of the 22nd National Conference on Artificial Intelligence, 2007.

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diehl-aaai07.pdf (139.6 KB)

P. Sen, Deshpande, A., and Getoor, L., “Representing Tuple and Attribute Uncertainty in Probabilistic Databases”, in Workshop on Data Mining of Uncertain Data (ICDM), 2007.

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dune07.pdf (176.67 KB)

R. Islamaj, Getoor, L., W. Wilbur, J., and Mount, S., “SplicePort - An interactive splice-site analysis tool”, Nucleic Acids Research, 2007.

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dogan-nar.pdf (1.34 MB)

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.

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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.

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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.

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singh2007IV.pdf (809.15 KB)

2008

R. Islamaj, Getoor, L., and Wilbur, J., A Feature Generation Algorithm with Applications to Biological Sequence Classification, 1st ed., vol. 1. Chapman and Hall/CRC Press, 2008, p. 355--376.

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islamaj-book08.pdf (3.09 MB)

P. Sen, Namata, G. Mark, Bilgic, M., Getoor, L., Gallagher, B., and Eliassi-Rad, T., “Collective Classification in Network Data”, AI Magazine, vol. 29, pp. 93–106, 2008.

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sen-aimag08.pdf (497.82 KB)

I. Bhattacharya and Getoor, L., Collective Relational Clustering, 1st ed., vol. 1. Chapman and Hall, 2008, pp. 221-244.

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bhattacharya-book08.pdf (10.39 MB)

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

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draft.pdf (424.09 KB)

M. Bilgic and Getoor, L., “Effective Label Acquisition for Collective Classification”, in ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008, pp. 43–51.

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bilgic-kdd08.pdf (758.14 KB)

P. Sen, Deshpande, A., and Getoor, L., “Exploiting Shared Correlations in Probabilistic Databases”, in International Conference on Very Large Data Bases, 2008.

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sen-vldb08.pdf (232.29 KB)

B. Saha and Getoor, L., “Group Proximity Measure for Recommending Groups in Online Social Networks”, in 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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