1.

Record Nr.

UNINA9910349397303321

Titolo

Foundations of Intelligent Systems : 24th International Symposium, ISMIS 2018, Limassol, Cyprus, October 29–31, 2018, Proceedings / / edited by Michelangelo Ceci, Nathalie Japkowicz, Jiming Liu, George A. Papadopoulos, Zbigniew W. Raś

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018

ISBN

9783030018511

3030018512

Edizione

[1st ed. 2018.]

Descrizione fisica

1 online resource (XXV, 464 p. 111 illus.)

Collana

Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 11177

Disciplina

006.3

Soggetti

Artificial intelligence

Data mining

Application software

Social sciences - Data processing

Computer vision

Artificial Intelligence

Data Mining and Knowledge Discovery

Computer and Information Systems Applications

Computer Application in Social and Behavioral Sciences

Computer Vision

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Includes index.

Nota di contenuto

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.

Sommario/riassunto

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.