Discovery Science: 21st International Conference, DS 2018, Limassol, Cyprus, October 29–31, 2018, Proceedings
Author:   Larisa Soldatova ,  Joaquin Vanschoren ,  George Papadopoulos ,  Michelangelo Ceci
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2018
Volume:   11198
ISBN:  

9783030017705


Pages:   482
Publication Date:   07 October 2018
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Discovery Science: 21st International Conference, DS 2018, Limassol, Cyprus, October 29–31, 2018, Proceedings


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Overview

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.

Full Product Details

Author:   Larisa Soldatova ,  Joaquin Vanschoren ,  George Papadopoulos ,  Michelangelo Ceci
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2018
Volume:   11198
Weight:   0.765kg
ISBN:  

9783030017705


ISBN 10:   3030017702
Pages:   482
Publication Date:   07 October 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Classification.- Meta-Learning.- Reinforcement Learning.- Streams and Time Series.- Subgroup and Subgraph Discovery.- Text Mining.- Applications.

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