Foundations of Intelligent Systems - 23rd International Symposium, ISMIS 2017, Warsaw, Poland, June 26-29, 2017, Proceedings

This book constitutes the proceedings of the 23 rd 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.

List of contents

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.

Summary

This book constitutes the proceedings of the 23^rd 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.

Product details

• Assisted by: Annalis Appice (Editor), Annalisa Appice (Editor), Marzena Kryszkiewicz (Editor), Zbigniew W. Ras (Editor), Zbigniew W. Raś (Editor), Henryk Rybinski (Editor), Andrzej Skowron (Editor), Dominik Sl zak (Editor), Dominik Slezak (Editor), Dominik Ślęzak (Editor), Dominik Slezak et al (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 31.07.2017
• EAN: 9783319604374
• ISBN: 978-3-31-960437-4
• No. of pages: 747
• Dimensions: 157 mm x 43 mm x 236 mm
• Weight: 1175 g
• Illustrations: XXIX, 747 p. 182 illus.
• Series: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; C, Data Mining, Artificial Intelligence, angewandte informatik, Natürliche Sprachen und maschinelle Übersetzung, Data Warehousing, Informationsrückgewinnung, Information Retrieval, Theoretische Informatik, Wissensbasierte Systeme, Expertensysteme, computer science, Information Retrieval, Information Systems Applications (incl. Internet), Theory of Computation, Computer and Information Systems Applications, Application software, Data Mining and Knowledge Discovery, Computers, Mathematical theory of computation, Internet searching, Expert systems / knowledge-based systems, Information Storage and Retrieval, Natural language & machine translation, Natural Language Processing (NLP), Natural language processing (Computer science)