A machine learning algorithm for analyzing string patterns helps to discover simple and interpretable business rules from purchase history

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2281, Issue , 2002, Pages 565-575

  Hamuro, Yukinobu ^a   Kawata, Hideki ^a   Katoh, Naoki ^b   Yada, Katsutoshi ^c  

^a OSAKA SANGYO UNIVERSITY   (Japan)

^b KYOTO UNIVERSITY   (Japan)

^c KANSAI UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION TREES; MACHINE LEARNING; SALES;

AMINO ACID SEQUENCE; BUSINESS RULES; CHARACTER STRINGS; MARKETING STRATEGY; NEW APPLICATIONS; NUMERICAL ATTRIBUTES; REGULAR EXPRESSIONS; REGULAR PATTERNS;

LEARNING ALGORITHMS;

EID: 34548076708     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45884-0_43     Document Type: Article

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