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Discovery Science : 21st International Conference, DS 2018, Limassol, Cyprus, October 29-31, 2018, Proceedings / edited by Larisa Soldatova, Joaquin Vanschoren, George Papadopoulos, Michelangelo Ceci.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

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Format:
Book
Contributor:
Soldatova, Larisa, editor.
Vanschoren, Joaquin, editor.
Papadopoulos, George, editor.
Ceci, Michelangelo, editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence ; 11198.
Lecture Notes in Artificial Intelligence ; 11198
Language:
English
Subjects (All):
Artificial intelligence.
Data mining.
Information storage and retrieval.
Application software.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Information Storage and Retrieval.
Computer Appl. in Social and Behavioral Sciences.
Local Subjects:
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Information Storage and Retrieval.
Computer Appl. in Social and Behavioral Sciences.
Physical Description:
1 online resource (XXI, 482 pages) : 137 illustrations.
Edition:
First edition 2018.
Contained In:
Springer eBooks
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2018.
System Details:
text file PDF
Summary:
This book constitutes the proceedings of the 21st International Conference on Discovery Science, DS 2018, held in Limassol, Cyprus, in October 2018, co-located with the International Symposium on Methodologies for Intelligent Systems, ISMIS 2018. The 30 full papers presented together with 5 abstracts of invited talks in this volume were carefully reviewed and selected from 71 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 the following topical sections: Classification; meta-learning; reinforcement learning; streams and time series; subgroup and subgraph discovery; text mining; and applications.
Contents:
Classification
Meta-Learning
Reinforcement Learning
Streams and Time Series
Subgroup and Subgraph Discovery
Text Mining
Applications.
Other Format:
Printed edition:
ISBN:
978-3-030-01771-2
9783030017712
Access Restriction:
Restricted for use by site license.

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