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A Collective, Probabilistic Approach to Schema Mapping Using Diverse Noisy Evidence.

, , , and . IEEE Trans. Knowl. Data Eng., 31 (8): 1426-1439 (2019)

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Using Probabilistic Relational Models for Collaborative Filtering, and . Proceedings of the Workshop on Web Usage Analysis and User Profiling (WEBKDD), (1999)Entity Resolution in Graph Data, and . CS-TR-4758. Computer Science Department, University of Maryland, (October 2005)Latent Dirichlet Allocation Model for Entity Resolution, and . CS-TR-4740. Computer Science Department, University of Maryland, (August 2005)'Beating the News' with EMBERS: Forecasting Civil Unrest Using Open Source Indicators, , , , , , , , , and 20 other author(s). Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, page 1799--1808. New York, NY, USA, ACM, (2014)FutureRank: Ranking Scientific Articles by Predicting their Future PageRank., and . SDM, page 533-544. SIAM, (2009)Identifying graphs from noisy and incomplete data., and . SIGKDD Explor., 12 (1): 33-39 (2010)Link mining: a new data mining challenge.. SIGKDD Explor., 5 (1): 84-89 (2003)Estimating Aggregate Properties In Relational Networks With Unobserved Data., , and . CoRR, (2020)Technical Perspective: Database Repair Meets Algorithmic Fairness.. SIGMOD Rec., 49 (1): 33 (2020)Identifying graphs from noisy and incomplete data., and . KDD Workshop on Knowledge Discovery from Uncertain Data, page 23-29. ACM, (2009)