Archived Publications (Latest: https://linqs.github.io/linqs-website/publications/)

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2019
V. Embar, Pujara, J., and Getoor, L., Collective Alignment of Large-scale Ontologies, in AKBC Workshop on Federated Knowledge Bases (FKBs), 2019.PDF icon embar-fkbs19.pdf (57.36 KB)
2018
J. Chang, Chen, R., Pujara, J., and Getoor, L., Clustering System Data using Aggregate Measures, in Machine Learning and Systems (MLSys), 2018.PDF icon chang-sysml18.pdf (299.32 KB)
P. Kouki, Pujara, J., Marcum, C., Koehly, L., and Getoor, L., Collective Entity Resolution in Multi-Relational Familial Networks, Knowledge and Information Systems (KAIS), vol. 61, no. 3, p. 1547-–1581, 2018.PDF icon kouki-kais18.pdf (1.17 MB)
2017
P. Kouki, Pujara, J., Marcum, C., Koehly, L., and Getoor, L., Collective Entity Resolution in Familial Networks, in IEEE International Conference on Data Mining (ICDM), 2017.PDF icon kouki-icdm17.pdf (653.4 KB)
A. Kimmig, Memory, A., Miller, R., and Getoor, L., A Collective, Probabilistic Approach to Schema Mapping, in International Conference on Data Engineering (ICDE), 2017.PDF icon kimmig-icde17.pdf (463.69 KB)
2008
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.PDF icon 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.PDF icon 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.PDF icon draft.pdf (424.09 KB)
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.PDF icon 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.
I. Bhattacharya and Getoor, L., Collective Entity Resolution In Relational Data, ACM Transactions on Knowledge Discovery from Data, vol. 1, pp. 1-36, 2007.PDF icon 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.PDF icon 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.
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)
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)
1995
A. Lansky, Friedman, M., Getoor, L., Schmidler, S., and Jr., N. Short, The Collage/Khoros Link: Planning for Image Processing Tasks, in Proceedings of the AAAI Spring Symposium on Integrated Planning Applications, 1995.