Mutsunori YAGIURA

A Randomness Based Analysis on the Data Size Needed for Removing Deceptive Patterns
Kazuya HARAGUCHI Mutsunori YAGIURA Endre BOROS Toshihide IBARAKI 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2008/03/01
Vol. E91-D  No. 3  pp. 781-788
Type of Manuscript:  PAPER
Category: Algorithm Theory
frequent/infrequent item setsassociation rulesknowledge discoveryprobabilistic analysis
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An LP-Based Local Search to the One Dimensional Cutting Stock Problem Using a Given Number of Cutting Patterns
Shunji UMETANI Mutsunori YAGIURA Toshihide IBARAKI 
Publication:   IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2003/05/01
Vol. E86-A  No. 5  pp. 1093-1102
Type of Manuscript:  Special Section PAPER (Special Section on Discrete Mathematics and Its Applications)
cutting stock problempattern minimizationlocal searchlinear programming
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