Discovery Science
20th International Conference, DS 2017, Kyoto, Japan, October 15-17, 2017, Proceedings
Published on 16. September 2017
Book
Paperback/Softback
XV, 357 pages
978-3-319-67785-9 (ISBN)
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.
More details
Series
Edition
1st ed. 2017
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
90 s/w Abbildungen
XV, 357 p. 90 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 21 mm
Weight
569 gr
ISBN-13
978-3-319-67785-9 (9783319677859)
DOI
10.1007/978-3-319-67786-6
Schweitzer Classification
Other editions
Additional editions
Akihiro Yamamoto | Takuya Kida | Takeaki Uno
Discovery Science
20th International Conference, DS 2017, Kyoto, Japan, October 15-17, 2017, Proceedings
E-Book
09/2017
Springer
€53.49
Available for download
Content
Machine learning: online learning, regression, label classification, deep learning, feature selection, recommendation system.- Knowledge discovery: recommendation system, community detection, pattern mining, misc.