Discovery Science 20th International Conference, DS 2017, Kyoto, Japan, October 15–17, 2017, Proceedings /
Discovery Science 20th International Conference, DS 2017, Kyoto, Japan, October 15–17, 2017, Proceedings / [electronic resource] :
edited by Akihiro Yamamoto, Takuya Kida, Takeaki Uno, Tetsuji Kuboyama.
- 1st ed. 2017.
- XV, 357 p. 90 illus. online resource.
- Lecture Notes in Artificial Intelligence, 10558 2945-9141 ; .
- Lecture Notes in Artificial Intelligence, 10558 .
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.
9783319677866
10.1007/978-3-319-67786-6 doi
Artificial intelligence.
Data mining.
Application software.
Social sciences--Data processing.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Computer and Information Systems Applications.
Computer Application in Social and Behavioral Sciences.
Q334-342 TA347.A78
006.3
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.
9783319677866
10.1007/978-3-319-67786-6 doi
Artificial intelligence.
Data mining.
Application software.
Social sciences--Data processing.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Computer and Information Systems Applications.
Computer Application in Social and Behavioral Sciences.
Q334-342 TA347.A78
006.3