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Foundations of Intelligent Systems: 23rd International Symposium, ISMIS 2017, Warsaw, Poland, June 26-29, 2017, Proceedings: Lecture Notes in Computer Science, cartea 10352

Editat de Marzena Kryszkiewicz, Annalisa Appice, Dominik Ślęzak, Henryk Rybinski, Andrzej Skowron, Zbigniew W. Raś
en Limba Engleză Paperback – 14 iun 2017
This book constitutes the proceedings of the 23rd International Symposium on Foundations of Intelligent Systems, ISMIS 2017, held in Warsaw, Poland, in June 2017. The 56 regular and 15 short papers presented in this volume were carefully reviewed and selected from 118 submissions. The papers include both theoretical and practical aspects of machine learning, data mining methods, deep learning, bioinformatics and health informatics, intelligent information systems, knowledge-based systems, mining temporal, spatial and spatio-temporal data, text and Web mining. In addition, four special sessions were organized; namely, Special Session on Big Data Analytics and Stream Data Mining, Special Session on Granular and Soft Clustering for Data Science, Special Session on Knowledge Discovery with Formal Concept Analysis and Related Formalisms, and Special Session devoted to ISMIS 2017 Data Mining Competition on Trading Based on Recommendations, which was launched as a part of the conference.
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Specificații

ISBN-13: 9783319604374
ISBN-10: 3319604376
Pagini: 747
Ilustrații: XXIX, 747 p. 182 illus.
Dimensiuni: 155 x 235 mm
Greutate: 1.07 kg
Ediția:1st ed. 2017
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence

Locul publicării:Cham, Switzerland

Cuprins

Machine learning.- data mining methods.- deep learning, bioinformatics and health informatics.- intelligent information systems.- knowledge-based system.- mining temporal, spatial and spatio-temporal data.- text and Web mining.- big data analytics and stream data mining.- granular and soft clustering for data science.- knowledge discovery with formal concept analysis and related formalisms.- data mining competition on trading based on recommendations.

Caracteristici

Includes supplementary material: sn.pub/extras