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Discovery Science : 19th International Conference, DS 2016, Bari, Italy, October 19-21, 2016, Proceedings / edited by Toon Calders, Michelangelo Ceci, Donato Malerba.

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

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Format:
Book
Contributor:
Calders, Toon, editor.
Ceci, Michelangelo, editor.
Malerba, Donato, editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence ; 9956.
Lecture Notes in Artificial Intelligence ; 9956
Language:
English
Subjects (All):
Artificial intelligence.
Data mining.
Information storage and retrieval.
Database management.
Algorithms.
Pattern perception.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Information Storage and Retrieval.
Database Management.
Algorithm Analysis and Problem Complexity.
Pattern Recognition.
Local Subjects:
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Information Storage and Retrieval.
Database Management.
Algorithm Analysis and Problem Complexity.
Pattern Recognition.
Physical Description:
1 online resource (XXI, 492 pages) : 131 illustrations.
Edition:
First edition 2016.
Contained In:
Springer eBooks
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2016.
System Details:
text file PDF
Summary:
This book constitutes the proceedings of the 17th International Conference on Discovery Science, DS 2016, held in banff, AB, Canada in October 2015. The 30 full papers presented together with 5 abstracts of invited talks in this volume were carefully reviewed and selected from 60 submissions. The conference focuses on following topics: Advances in the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, and intelligent data analysis, as well as their application in various scientific domains.
Contents:
Pattern mining and rules
Structured output prediction
Applications
Ensemble Learning
Classification
Networks
Kernels and deep learning. .
Other Format:
Printed edition:
ISBN:
978-3-319-46307-0
9783319463070
Access Restriction:
Restricted for use by site license.

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