| Document Date: 2014-11-20 04:14:00
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City Trie / / Company Microsoft / / Country China / / / Facility Tsinghua University / / IndustryTerm trie-based algorithms / trie-join algorithms / straightforward trie-search-based method / above-mentioned incremental algorithm / naïve solution / incremental similarity-join algorithm / query log mining / incremental algorithm / straightforward algorithm / dynamic-programming algorithm / computing / incremental trie-join algorithm / / Organization IDF / Tsinghua University / Beijing / U.S. Securities and Exchange Commission / G. Li Department of Computer Science and Technology / / Product A2 / Trie-PathStack / / Technology 3 Trie-based algorithms / above-mentioned incremental algorithm / 4 Trie-Traverse algorithm / 11 Incremental Trie-PathStack algorithm / dynamic-programming algorithm / incremental trie-join algorithm / Av / incremental similarity-join algorithm / Trie-PathStack algorithm / 3.1 Trie-traverse algorithm / TriePathStack algorithm / 3.2 Trie-dynamic algorithm / trie-based algorithms / TrieTraverse algorithm / 3.3 Trie-PathStack algorithm / dynamicprogramming algorithm / trie-join algorithms / straightforward algorithm / Trie-Traverse algorithm / string-similarity-join algorithm / Trie-Dynamic algorithm / three trie-based algorithms / incremental algorithm / /
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The VLDB Journal DOIs00778REGULAR PAPER Trie-join: a trie-based method for efficient string similarity joins