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Committee Date Time Place Paper Title / Authors Abstract Paper #
SWIM 2017-02-24
16:10		 Tokyo Kikai-Shinko-Kaikan Bldg. Detecting code clone using sequential data mining -- Experimental results on Java SWING source code --
Yoshihisa Udagawa (Tokyo Polytechnic Univ.) SWIM2016-21		 This paper proposes a method for applying a sequential data mining algorithm to detect code clones (duplicated code frag... [more] SWIM2016-21
pp.17-22
SWIM 2014-11-29
10:55		 Tokyo Tokyo Polytechnic Univ. An Approach to Retrieving Structural Clones Using Sequence Mining Algorithms
Yoshihisa Udagawa (Tokyo Polytechnic Univ.) SWIM2014-17		 Several studies suggest that as much as 20—50% of large software in industry consist of copied fragments (clone co... [more] SWIM2014-17
pp.15-22
NC, MBE
(Joint)		 2010-03-11
15:00		 Tokyo Tamagawa University Frequent String Detection by Variable Length Coding
Hayato Okamoto, Masato Inoue (Waseda Univ.) NC2009-170		 Extracting frequently-appearing subsequences from genome DNA sequences or amino-acid sequences of proteins of various sp... [more] NC2009-170
pp.485-489
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