NIPS 2011 Big Learning - Algorithms, Systems, & Tools Workshop: Vowpal Wabbit Tutorial
look as though the namespace is just an empty string, which it can be. So, then we have features which can be a string or just a string. And if ...
look as though the namespace is just an empty string, which it can be. So, then we have features which can be a string or just a string. And if ...
KW - name matching. KW - Duplicate detection. journal ={IEEE Transactions on Knowledge and Data Engineering},. JO - IEEE Transactions on Knowledge and Data Engineering. KW - data deduplication. KW - data cleaning. KW - data integration. author = {Ahmed K. Elmagarmid and Panagiotis G. Ipeirotis and Vassilios S. Verykios},. TI - Duplicate Record Detection: A Survey....
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29 pages |
Approximate string matching with q-grams and maximal matches |
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261 pages |
Algorithms and Applications, Essays Dedicated to Esko Ukkonen on the Occasion of His 60th Birthday 520, pp. 240–248. Springer, Heidelberg (1991) 4. Ukkonen, E.: Approximate string matching with q-grams and maximal matches. Theor. Comput. Sci. 92(1), 191–211 ( 1992) 5. Ukkonen, E.: Approximate string-matching over suffix trees. |
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315 pages |
Combinatorial Pattern Matching, 19th Annual Symposium, CPM 2008 Pisa, Italy, June 18-20, 2008, Proceedings to novel approaches to approximate string matching which break the average- case lower bound of the original problem. ... Ukkonen, E.: Approximate string- matching with q-grams and maximal matches. Theoretical Computer Science 92, ... |
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419 pages |
Advances in Information Retrieval, 26th European Conference on IR Research, ECIR 2004, Sunderland, UK, April 5-7, 2004 : Proceedings Sutinen E.: Filtration with q-Samples in Approximate String Matching. LNCS 1075 , Springer Verlag (1996) 50-63 7. Ukkonen, E.: Approximate string-matching with q-grams and maximal matches. Theoretical Computer Science 92 (1992) ... |
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288 pages |
Combinatorial Pattern Matching, 13th Annual Symposium, CPM 2002, Fukuoka, Japan, July 3-5, 2002 : Proceedings One-Gapped q-Gram Filters for Levenshtein Distance Stefan Burkhardt1⋆ and Juha Kärkkäinen2⋆⋆ 1 Center for ... the approximate string matching problem is to find all substrings of the text (matches) that are within a distance k of the ... |