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Discovery Science

20th International Conference, DS 2017, Kyoto, Japan, October 15–17, 2017, Proceedings
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Description

This book constitutes the proceedings of the 20th International Conference on Discovery Science, DS 2017, held in Kyoto, Japan, in October 2017, co-located with the International Conference on Algorithmic Learning Theory, ALT 2017. The 18 revised full papers presented together with 6 short papers and 2 invited talks in this volume were carefully reviewed and selected from 42 submissions. The scope of the conference includes the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data analysis, big data analysis as well as their application in various scientific domains. The papers are organized in topical sections on machine learning: online learning, regression, label classification, deep learning, feature selection, recommendation system; and knowledge discovery: recommendation system, community detection, pattern mining, misc.
Release date NZ
September 16th, 2017
Contributors
  • Edited by Akihiro Yamamoto
  • Edited by Takeaki Uno
  • Edited by Takuya Kida
  • Edited by Tetsuji Kuboyama
Pages
357
Edition
1st ed. 2017
Audience
  • Professional & Vocational
Illustrations
90 Illustrations, black and white; XV, 357 p. 90 illus.
ISBN-13
9783319677859
Product ID
26881613

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