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Paper Abstract and Keywords
Presentation 2018-03-07 12:00
A Determination Method of Locality Sensitive Hashing Parameters for Code Clone Detection
Shogo Tokui (Osaka Univ.), Norihiro Yoshida (Nagoya Univ.), Eunjong Choi (NAIST), Katsuro Inoue (Osaka Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) LSH (Locality-Sensitive Hashing) is a near neighbor search algorithm that performs probabilistic hashing of high-dimensional data. For reducing the detection time of code clones, the execution time of LSH needs to be speeded up. In this study, we propose an approach to determine LSH parameters based on source code analysis in order to not only speed up code clone detection but also keep the preciseness of it.
Keyword (in Japanese) (See Japanese page) 
(in English) Code Clone / Locality-Sensitive Hashing / Code block / / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 477, SS2017-74, pp. 57-62, March 2018.
Paper # SS2017-74 
Date of Issue 2018-02-27 (SS) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee SS  
Conference Date 2018-03-06 - 2018-03-07 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To SS 
Conference Code 2018-03-SS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Determination Method of Locality Sensitive Hashing Parameters for Code Clone Detection 
Sub Title (in English)  
Keyword(1) Code Clone  
Keyword(2) Locality-Sensitive Hashing  
Keyword(3) Code block  
1st Author's Name Shogo Tokui  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Norihiro Yoshida  
2nd Author's Affiliation Nagoya University (Nagoya Univ.)
3rd Author's Name Eunjong Choi  
3rd Author's Affiliation Nara Institute of Science and Technology (NAIST)
4th Author's Name Katsuro Inoue  
4th Author's Affiliation Osaka University (Osaka Univ.)
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Date Time 2018-03-07 12:00:00 
Presentation Time 30 
Registration for SS 
Paper # IEICE-SS2017-74 
Volume (vol) IEICE-117 
Number (no) no.477 
Page pp.57-62 
#Pages IEICE-6 
Date of Issue IEICE-SS-2018-02-27 

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