Discovery Science: 20th International Conference, DS 2017, Kyoto, Japan, October 15–17, 2017, Proceedings
Author:   Akihiro Yamamoto ,  Takuya Kida ,  Takeaki Uno ,  Tetsuji Kuboyama
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2017
Volume:   10558
ISBN:  

9783319677859


Pages:   357
Publication Date:   16 September 2017
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Discovery Science: 20th International Conference, DS 2017, Kyoto, Japan, October 15–17, 2017, Proceedings


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Overview

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.

Full Product Details

Author:   Akihiro Yamamoto ,  Takuya Kida ,  Takeaki Uno ,  Tetsuji Kuboyama
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2017
Volume:   10558
Weight:   5.679kg
ISBN:  

9783319677859


ISBN 10:   3319677853
Pages:   357
Publication Date:   16 September 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Machine learning: online learning, regression, label classification, deep learning, feature selection, recommendation system.- Knowledge discovery: recommendation system, community detection, pattern mining, misc.

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