株式会社極東書店トップ ＞ 商品一覧 ＞ Data Mining and Constraint Programming: Foundations of a Cross-Disciplinary Approach. 2016 ed.
商品詳細
Data Mining and Constraint Programming: Foundations of a Cross-Disciplinary Approach. 2016 ed.
・ISBN 978-3-319-50136-9 paper EUR 49.99
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| 著者・編者 | Bessiere, Christian / De Raedt, Luc / Kotthoff, Lars / Nijssen, Siegfried / O'Sullivan, Barry / Pedreschi, Dino (eds.), |
|---|---|
| シリーズ | (Lecture Notes in Computer Science) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2016 |
| ページ数 | 349 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-16463＞ |
解説
A successful integration of constraint programming and data mining has the potential to lead to a new ICT paradigm with far reaching implications. It could change the face of data mining and machine learning, as well as constraint programming technology. It would not only allow one to use data mining techniques in constraint programming to identify and update constraints and optimization criteria, but also to employ constraints and criteria in data mining and machine learning in order to discover models compatible with prior knowledge.
This book reports on some key results obtained on this integrated and cross- disciplinary approach within the European FP7 FET Open project no. 284715 on "Inductive Constraint Programming" and a number of associated workshops and Dagstuhl seminars. The book is structured in five parts: background; learning to model; learning to solve; constraint programming for data mining; and showcases.