Presentation | 2008-06-19 A study on fast search of the nearest string in edit distance Hiroyuki HANADA, Mineichi KUDO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The problem is finding the nearest string, measured by edit distance, to a query string q from a set T of strings. Here indexing of T is assumed. Conventional indexing methods construct indexes mainly from the distances between elements in T. In the proposed method, the nature of strings is introduced to enhancing indexing and searching. We introduce n-gram distance as an approximation of edit distance for faster construction of the VP-trees which are search trees in metric spaces. The method succeeded to speed up the construction of VP-trees at a factor of 1/8, without increasing searching time. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | String / Edit Distance / Nearest Neighbor Method / Indexing / Search Tree |
Paper # | DE2008-8,PRMU2008-26 |
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Committee | PRMU |
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Conference Date | 2008/6/12(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A study on fast search of the nearest string in edit distance |
Sub Title (in English) | |
Keyword(1) | String |
Keyword(2) | Edit Distance |
Keyword(3) | Nearest Neighbor Method |
Keyword(4) | Indexing |
Keyword(5) | Search Tree |
1st Author's Name | Hiroyuki HANADA |
1st Author's Affiliation | Graduate School of Information Science and Technology, Hokkaido University() |
2nd Author's Name | Mineichi KUDO |
2nd Author's Affiliation | Graduate School of Information Science and Technology, Hokkaido University |
Date | 2008-06-19 |
Paper # | DE2008-8,PRMU2008-26 |
Volume (vol) | vol.108 |
Number (no) | 94 |
Page | pp.pp.- |
#Pages | 5 |
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