Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10558)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: DS 2017.
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (24 papers)
Other volumes
-
Discovery Science
Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Discovery Science
Book Subtitle: 20th International Conference, DS 2017, Kyoto, Japan, October 15–17, 2017, Proceedings
Editors: Akihiro Yamamoto, Takuya Kida, Takeaki Uno, Tetsuji Kuboyama
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-67786-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-67785-9Published: 16 September 2017
eBook ISBN: 978-3-319-67786-6Published: 15 September 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XV, 357
Number of Illustrations: 90 b/w illustrations
Topics: Artificial Intelligence, Data Mining and Knowledge Discovery, Information Systems Applications (incl. Internet), Computer Appl. in Social and Behavioral Sciences