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

Type anyJournal ArticleConference PaperThesisTutorialBook ChapterUnpublishedPosterBook

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Year any2019201820172016201520142013201220112010200920082007200620052004200320022001200019991998199719951994

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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2009

Sen, P. Representing and Querying Uncertain Data. (2009).

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thesis.pdf (1.12 MB)

Somasundaran, S., Namata, G. Mark, Wiebe, J. & Getoor, L. Supervised and Unsupervised Methods in Employing Discourse Relations for Improving Opinion Polarity Classification. Conference on Empirical Methods in Natural Language Processing (2009).

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somasundaran-emnlp09.pdf (390.93 KB)

Zheleva, E. & Getoor, L. To Join or not to Join: The Illusion of Privacy in Social Networks with Mixed Public and Private User Profiles. 18th International World Wide Web conference (WWW) (2009).

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fp660-zheleva.pdf (538.92 KB)

Zheleva, E. & Getoor, L. To Join or not to Join: The Illusion of Privacy in Social Networks with Mixed Public and Private User Profiles. The Web Conference (WWW) (University of Maryland, 2009).

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zheleva-cs-tr4926.pdf (366.68 KB)

2008

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. CRC Data Mining Series 223-243 (Chapman and Hall, 2008).

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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)

Kang, H., Getoor, L., Shneiderman, B., Bilgic, M. & Licamele, L. Interactive Entity Resolution in Relational Data: A Visual Analytic Tool and Its Evaluation. IEEE Transactions on Visualization and Computer Graphics 14, 999–1014 (2008).

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kang-tvcg08.pdf (3.63 MB)

Smith, M., Barash, V., Getoor, L. & Lauw, H. Leveraging Social Context for Searching Social Media. CIKM Workshop on Search in Social Media (2008).

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Elsayed, T., Oard, D., Namata, G. Mark & Getoor, L. Personal Name Resolution in Email: A Heuristic Approach. (2008).

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LAMP_150.pdf (397.61 KB)

Zheleva, E. & Getoor, L. Preserving the Privacy of Sensitive Relationships in Graph Data. Proceedings of the First SIGKDD International Workshop on Privacy, Security, and Trust in KDD (PinKDD 2007) 4890, 153-171 (Springer, 2008).

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Elsayed, T., Oard, D. & Namata, G. Mark. Resolving Personal Names in Email Using Context Expansion. 46th Annual Meeting of the Association of Computational Linguistics 265–268 (2008).

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elsayed-acl08.pdf (294.84 KB)

Dietterich, T., Domingos, P., Getoor, L., Muggleton, S. & Tadepalli, P. Structured machine learning: the next ten years. Machine Learning 73, 3–23 (2008).

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Zheleva, E., Kolcz, A. & Getoor, L. Trusting Spam Reporters: A Reporter-based Reputation System for Email Filtering. ACM Transactions on Information Systems 27, (2008).

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zheleva-tois08.pdf (447.31 KB)

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).

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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).

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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. Computational Methods of Feature Selection (Liu, H. & Motoda, H.) (Chapman and Hall/CRC Press, 2007).

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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)

Haidarian-Shahri, H., Namata, G. Mark, Navlakha, S., Deshpande, A. & Roussopoulos, N. A Graph-based Approach to Vehicle Tracking in Traffic Camera Video Streams. 4th International Workshop on Data Management for Sensor Networks (2007).

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dmsn07.pdf (576.07 KB)

Koller, D., Friedman, N., Getoor, L. & Taskar, B. An Introduction to Statistical Relational Learning (Getoor, L. & Taskar, B.) (MIT Press, 2007).

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srlbook-ch2.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. An Introduction to Statistical Relational Learning (Getoor, L. & Taskar, B.) (MIT Press, 2007).

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srlbook-ch5.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)

Sen, P. & Deshpande, A. Representing and Querying Correlated Tuples in Probabilistic Databases. International Conference on Data Engineering (2007).

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icde07_final.pdf (309.63 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)

2006

Bhattacharya, I. Collective Entity Resolution In Relational Data. (2006).

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thesis.pdf (761.21 KB)

Bhattacharya, I. & Getoor, L. Collective Entity Resolution in Relational Data. Data Engineering Bulletin 29, (2006).

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Sen, P. & Getoor, L. Cost-Sensitive Learning with Conditional Markov Networks. SIAM Data Mining Workshop on Link Analysis, Counterterrorism and Security (2006).

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sensiam_lacs06.pdf (137.37 KB)

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