24th International Symposium, ISMIS 2018, Limassol, Cyprus, October 29-31, 2018, Proceedings /
First Statement of Responsibility
Michelangelo Ceci, Nathalie Japkowicz, Jiming Liu, George A. Papadopoulos, Zbigniew W. Raś (eds.).
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Cham :
Name of Publisher, Distributor, etc.
Springer,
Date of Publication, Distribution, etc.
2018.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource (xxv, 464 pages) :
Other Physical Details
illustrations
SERIES
Series Title
Lecture notes in artificial intelligence
Series Title
Lecture notes in computer science ;
Series Title
LNCS sublibrary. SL 7, Artificial intelligence
Volume Designation
11177
GENERAL NOTES
Text of Note
International conference proceedings.
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references and author index.
CONTENTS NOTE
Text of Note
Bioinformatics and Health Informatics -- Graph Mining -- Image Analysis -- Intelligent Systems -- Mining Complex Patterns -- Novelty Detection and Class Imbalance -- Social Data Analysis -- Spatio-temporal Analysis -- Granular and Soft Clustering -- Topic Modelling and Opinion Mining.
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SUMMARY OR ABSTRACT
Text of Note
This book constitutes the proceedings of the 24th International Symposium on Foundations of Intelligent Systems, ISMIS 2018, held in Limassol, Cyprus, in October 2018. The 32 full, 8 short, and 4 application papers presented in this volume were carefully reviewed and selected from 59 submissions. The papers deal with topics such as bioinformatics and health informatics, graph mining, image analysis, intelligent systems, mining complex patterns, novelty detection and class imbalance, social data analysis, spatio-temporal analysis, and topic modeling and opinion mining. In addition, three special sessions were organized, namely: Special Session on Granular and Soft Clustering for Data Science, Special Session on Intelligent Methodologies for Traffic Data Analysis and Mining, and Special Session on Advanced Methods in Machine Learning for Modeling Complex Data.