CONTENTS<\/p>\n
Commentary
\nSome Aspects of Creative Activity\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026.Ryuichi Oka 495<\/p>\n
Special Issue: \u201cKnowledge Discovery in Very Large Databases\u201d
\nEditor\u2019s Introduction to \u201cKnowledge Discovery in Very Large Databases\u201d
\n\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026.. Masayuki Numao 496
\nAn Overview of Knowledge Discovery in Databases\u2026\u2026\u2026\u2026\u2026..Hiroyuki Kawano 497
\nMachine Learning and Data Mining\u2026\u2026\u2026\u2026..Hiroshi Motoda and Takashi Washio 505
\nMining Algorithms for Association Rules\u2026\u2026\u2026\u2026\u2026\u2026\u2026..Masaru Kitsuregawa 513
\nPerspectives on KDD and Data Mining Tools\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026..Takao Terano 521
\nData Mining for Distribution Industry\u2026\u2026..Masayuki Numao and Shuichi Shimizu 528
\nMedical Application of Data Mining\u2026\u2026\u2026..Shusaku Tsumoto and Hiroshi Tanaka 536
\nWhat does Manufacturing Industry Expect from Data Mining?
\n\u2026\u2026\u2026\u2026Miki Ochida,Toru Yukimatsu,Satoshi Hori,and Hirokazu Taki 544<\/p>\n
Survey Papers
\nAI Technology in Next Day Electric Peak Load Forecast\u2026\u2026\u2026\u2026.Takashi Onoda 550<\/p>\n
Technical Papers
\nOntology Engineering
\n-Towards the Basic Theory and Technology for Content-Oriented Research-
\n\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026Riichiro Mizoguchi and Mitsuru Ikeda 559
\nPropagating Learned Behaviors from a Virtual Agent to a Physical Robot
\nin Exploitation-Oriented Reinforcement Learning
\n\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026..Tomohiro Yamaguchi,Moto\u2019omi Masubuchi, 570
\nYasuhiro Tanaka,and Masahiko Yachida
\nMPL-Core:An Efficient Multiple Predicate Learner Based on
\nFast Failure Mechanism\u2026\u2026\u2026\u2026\u2026\u2026..Xiaolong Zhang and Masayuki Numao 582
\nUnderstanding Sequential Events by Cost-Based Cooperation of
\nMultiple Abducers\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026Yukio Ohsawa and Masahiko Yachida 591
\nLearning Dynamic Similarity Metric Based on Relative Distance
\nInformation and Estimates of Its Retrieval Error
\n\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026Ken Satoh and Seishi Okamoto 600
\nInference Rules for Declarative Programs
\n\u2026\u2026\u2026\u2026\u2026\u2026 Kiyoshi Akama,Koichi Okada,and Eiichi Miyamoto 608
\nA Systematic Construction Method of an Expert System Used for
\nAutomatic Software Design
\n-Acquisition and Reproduction of Design Knowledge from Design Process-
\n\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Hui Chen,Behrouz H.Far,and Zenya Koono 616
\nReferring Actions in Multi-Modal Dialogues\u2026. Tsuneaki Kato and Yukiko I.Nakano 627<\/p>\n
Research Notes
\nImprovement of the Subsumption Process on Hypothese Synthesis Using
\nInference-Path Network
\n..Haruhiko Kimura,Kuniyasu Tajima,Hidetaka Nanbo,and Sadaki Hirose 635<\/p>\n
Published Bimonthly by Japanese Society for Artificial Intelligence
\nOS Bldg.402,4-7 Tsukudomachi,Shinjuku-ku,Tokyo 162,Japan.<\/p>\n","protected":false},"excerpt":{"rendered":"
CONTENTS Commentary Some Aspects of Creative Activity\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026.Ryuichi Oka 495 Special Issue: \u201cKnowledge Discovery in Very Large Databases\u201d Editor\u2019s Introduction to \u201cKnowledge Discovery in Very Large Databases\u201d \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026.. Masayuki Numao 496 An Overview of Knowledge Discovery in Databases\u2026\u2026\u2026\u2026\u2026..Hiroyuki Kawano 497 Machine Learning and Data Mining\u2026\u2026\u2026\u2026..Hiroshi Motoda and Takashi Washio 505 Mining Algorithms for Association Rules\u2026\u2026\u2026\u2026\u2026\u2026\u2026..Masaru Kitsuregawa 513 Perspectives on KDD and Data Mining Tools\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026..Takao Terano 521 Data Mining for Distribution Industry\u2026\u2026..Masayuki Numao and Shuichi Shimizu 528 Medical Application of Data Mining\u2026\u2026\u2026..Shusaku Tsumoto and Hiroshi Tanaka 536 What does Manufacturing Industry Expect from Data Mining? \u2026\u2026\u2026\u2026Miki Ochida,Toru Yukimatsu,Satoshi Hori,and Hirokazu Taki 544 Survey Papers AI Technology in Next Day Electric Peak Load […]<\/p>\n","protected":false},"author":17,"featured_media":0,"parent":1007055,"menu_order":0,"comment_status":"open","ping_status":"open","template":"","meta":[],"categories":[11],"_links":{"self":[{"href":"https:\/\/www.ai-gakkai.or.jp\/en\/wp-json\/wp\/v2\/pages\/1000258"}],"collection":[{"href":"https:\/\/www.ai-gakkai.or.jp\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.ai-gakkai.or.jp\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.ai-gakkai.or.jp\/en\/wp-json\/wp\/v2\/users\/17"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ai-gakkai.or.jp\/en\/wp-json\/wp\/v2\/comments?post=1000258"}],"version-history":[{"count":3,"href":"https:\/\/www.ai-gakkai.or.jp\/en\/wp-json\/wp\/v2\/pages\/1000258\/revisions"}],"predecessor-version":[{"id":1008421,"href":"https:\/\/www.ai-gakkai.or.jp\/en\/wp-json\/wp\/v2\/pages\/1000258\/revisions\/1008421"}],"up":[{"embeddable":true,"href":"https:\/\/www.ai-gakkai.or.jp\/en\/wp-json\/wp\/v2\/pages\/1007055"}],"wp:attachment":[{"href":"https:\/\/www.ai-gakkai.or.jp\/en\/wp-json\/wp\/v2\/media?parent=1000258"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ai-gakkai.or.jp\/en\/wp-json\/wp\/v2\/categories?post=1000258"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}