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21	On Synopses for Distinct-Value Estimation Under Multiset Operations Kevin Beyer1 Peter J. Haas1 Berthold Reinwald1 Yannis Sismanis1 Rainer Gemulla2 1 IBM 2 Technische Add to Reading List Source URL: dws.informatik.uni-mannheim.de Language: English - Date: 2014-09-29 11:40:18 Statistical inference M-estimators Signal processing Estimator Bias of an estimator Maximum likelihood MinHash Partition Order statistic Statistics Estimation theory Statistical theory
22	No Free Lunch: Brute Force vs. Locality-Sensitive Hashing for Cross-lingual Pairwise Similarity Ferhan Ture1 , Tamer Elsayed2 , Jimmy Lin1,3 1 2 Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2011-09-05 10:52:26 MinHash Locality-sensitive hashing Cosine similarity Data mining Jaccard index Nearest neighbor search Digital signature Information science Information retrieval Search algorithms
23	Mining of Massive Datasets Anand Rajaraman Kosmix, Inc. Add to Reading List Source URL: infolab.stanford.edu Language: English - Date: 2012-07-04 16:04:28 Data mining Search algorithms Information retrieval Machine learning Data analysis MinHash Nearest neighbor search Jaccard index PageRank Information science Statistics Mathematics
24	Index Bandwidth, 20 Basket, see Market basket, 184, 186, 187, 216 Bayes net, 4 BDMO Algorithm, 251 Add to Reading List Source URL: infolab.stanford.edu Language: English - Date: 2012-07-04 16:04:10 Data mining Information retrieval Searching Matrix theory Sparse matrices Hierarchical clustering MinHash Matrix Association rule learning Mathematics Algebra Information science
25	Mining of Massive Datasets Jure Leskovec Stanford Univ. Add to Reading List Source URL: infolab.stanford.edu Language: English - Date: 2014-04-03 15:20:09 Information retrieval Search algorithms Parallel computing MinHash MapReduce Jaccard index Nearest neighbor search Locality-sensitive hashing Collaborative filtering Information science Science Computing
26	Mining of Massive Datasets Anand Rajaraman Kosmix, Inc. Add to Reading List Source URL: infolab.stanford.edu Language: English - Date: 2012-07-04 16:03:58 Data mining Search algorithms Information retrieval Machine learning Data analysis MinHash Nearest neighbor search Jaccard index PageRank Information science Statistics Mathematics
27	Mining of Massive Datasets Jure Leskovec Stanford Univ. Add to Reading List Source URL: infolab.stanford.edu Language: English - Date: 2014-05-30 14:36:21 Information retrieval Search algorithms Parallel computing MinHash MapReduce Jaccard index Nearest neighbor search Locality-sensitive hashing Collaborative filtering Information science Science Computing
28	Chapter 3 Finding Similar Items A fundamental data-mining problem is to examine data for “similar” items. We shall take up applications in Section 3.1, but an example would be looking at a collection of Web pages an Add to Reading List Source URL: infolab.stanford.edu Language: English - Date: 2012-07-04 16:02:45 Information science MinHash Jaccard index Similarity Matrix W-shingling Geometry Statistics Measure theory
29	PDF Document Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2011-01-31 15:27:40 Measure theory Error detection and correction Linear algebra Jaccard index Hash function Vector space MinHash Locality-sensitive hashing Algebra Mathematics Search algorithms
30	PDF Document Add to Reading List Source URL: www2007.org Language: English - Date: 2007-04-04 20:20:03 NP-complete problems Clique Jaccard index Maximal independent set MinHash Bron–Kerbosch algorithm Independent set Matching Graph theory Mathematics Theoretical computer science