Building knowledge for characterization of the bad debt customers in the mail order industry with random forest

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Note (General)：: Advances in knouledge-based and intelligent information and engineering systems / Manuel Graña, Carlos Toro, Jorge Posada, Robert J. Howlett, Lakhmi C...

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Material Type: 図書
Title: Building knowledge for characterization of the bad debt customers in the mail order industry with random forest
Author/Editor: 髙橋, 雅和
Azuma, Hiroki
Ikeda, Masanori
Tsuda, Kazuhiko
Author Heading: 髙橋, 雅和
Azuma, Hiroki
Ikeda, Masanori
Tsuda, Kazuhiko
Publication, Distribution, etc.: IOS Press
Publication Date: 2012
Publication Date (W3CDTF): 2012
Periodical title: Frontiers in artificial intelligence and applications
No. or year of volume/issue: 243
Volume: 243
Pages: 867-874
Text Language Code: eng
Subject Heading: Bad debts
Customer analysis
Machine learning
Mail order
Random forest
Service and management engineering
Target Audience: 一般
Note (General): Advances in knouledge-based and intelligent information and engineering systems / Manuel Graña, Carlos Toro, Jorge Posada, Robert J. Howlett, Lakhmi C. Jain (eds.). IOS Press, 2012. (Frontiers in artificial intelligence and applications : v. 243)
Related Material (DOI): 10.3233/978-1-61499-105-2-867
Is Version Of (URI): http://www.lib.yamaguchi-u.ac.jp/yunoca/handle/2013010257
URI
http://www.lib.yamaguchi-u.ac.jp/yunoca/handle/2013010257
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 山口大学 : 山口大学学術機関リポジトリYUNOCA