IEICE SEARCH SYSTEM

Keyword : association rule

Improvement in Method Verb Recommendation Technique Using Association Rule Mining Yuki KASHIWABARA Takashi ISHIO Katsuro INOUE
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2015/11/01 Vol. E98-D No. 11 ; pp. 1982-1985 Type of Manuscript: LETTER Category: Software Engineering Keyword: recommendation, verb in method name, association rule,
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Method Verb Recommendation Using Association Rule Mining in a Set of Existing Projects Yuki KASHIWABARA Takashi ISHIO Hideaki HATA Katsuro INOUE
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2015/03/01 Vol. E98-D No. 3 ; pp. 627-636 Type of Manuscript: PAPER Category: Software Engineering Keyword: software readability, recommendation, method name, association rule,
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A Novel Statistical Approach to Detect Card Frauds Using Transaction Patterns Chae Chang LEE Ji Won YOON
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2015/03/01 Vol. E98-D No. 3 ; pp. 649-660 Type of Manuscript: PAPER Category: Information Network Keyword: pattern mining, fraud detection, autoregressive, Gaussian processes, association rule,
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An Association Rule Based Grid Resource Discovery Method Yuan LIN Siwei LUO Guohao LU Zhe WANG
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2011/04/01 Vol. E94-D No. 4 ; pp. 913-916 Type of Manuscript: LETTER Category: Computer System Keyword: grid, grid resource, resource discovery, association rule, hypergraph partitioning,
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DODDLE II: A Domain Ontology Development Environment Using a MRD and Text Corpus Masaki KUREMATSU Takamasa IWADE Naomi NAKAYA Takahira YAMAGUCHI
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2004/04/01 Vol. E87-D No. 4 ; pp. 908-916 Type of Manuscript: Special Section PAPER (Special Section on Knowledge-Based Software Engineering) Category: Knowledge Engineering and Robotics Keyword: ontology, concept-hierarchy, concept-relationship, MRD, text corpus, co-occurrence, association rule,
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Association Rule Filter for Data Mining in Call Tracking Data Kazunori MATSUMOTO Kazuo HASHIMOTO
Publication: IEICE TRANSACTIONS on Communications Publication Date: 1998/12/25 Vol. E81-B No. 12 ; pp. 2481-2486 Type of Manuscript: Special Section PAPER (Special Issue on the Latest Development of Telecommunication Research) Category: Network Design, Operation, and Management Keyword: knowledge discovery and datamining, association rule, filtering, Akaike's information theory,
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