Learning-based Entity Resolution with MapReduce Lars Kolb1 Hanna Köpcke2 1

First Page		Document Content
Date: 2011-11-03 05:57:13 Concurrent computing Computing Parallel computing Distributed computing architecture MapReduce Statistical classification Data-intensive computing Machine learning Apache Hadoop Support vector machine Frame language Record linkage		Learning-based Entity Resolution with MapReduce Lars Kolb1 Hanna Köpcke2 1 Add to Reading List Source URL: dbs.uni-leipzig.de Download Document from Source Website File Size: 755,33 KB Share Document on Facebook

	Advanced Methods in Statistical Classification SS 2013 Type Schedule / Room V3 Block course 01 April to 19th April Mo-Fr 1000 – DocID: 1uQKO - View Document
	Statistical and Computational Challenges in Networks and Cybersecurity Community Detection and Classification in Hierarchical Stochastic Blockmodels Carey E. Priebe DocID: 1u9u0 - View Document
	McRank: Learning to Rank Using Multiple Classification and Gradient Boosting Ping Li ∗ Dept. of Statistical Science Cornell University DocID: 1tgDg - View Document
	On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance Aditya Krishna Menon University of California, San Diego, La Jolla CA 92093, USA DocID: 1sKKN - View Document
	SEMINAR ON STATISTICAL MAPPING This seminar, held in two sessions on Monday and Wednesday afternoons, dealt with statistical mapping, map generalization and classification. Papers were presented by JEAN-CLAUDE MULLER, R DocID: 1szhk - View Document