Knowledge Science, Engineering and Management : 12th International Conference, KSEM 2019, Athens, Greece, August 28-30, 2019, Proceedings, Part I / edited by Christos Douligeris, Dimitris Karagiannis, Dimitris Apostolou.

Format:

• Book

Contributor:

• Douligeris, C. (Christos), Editor.
• Karagiannis, Dimitris., Editor.
• Apostolou, Dimitris, Editor.
• SpringerLink (Online service)

Series:

• Computer Science (SpringerNature-11645)
• Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 11775
• Lecture Notes in Artificial Intelligence, 2945-9141 ; 11775

Language:

English

Subjects (All):

• Artificial intelligence.
• Application software.
• Social sciences-Data processing.
• Information technology-Management.
• Algorithms.
• Artificial Intelligence.
• Computer and Information Systems Applications.
• Computer Application in Social and Behavioral Sciences.
• Computer Application in Administrative Data Processing.

Local Subjects:

• Artificial Intelligence.
• Computer and Information Systems Applications.
• Computer Application in Social and Behavioral Sciences.
• Computer Application in Administrative Data Processing.
• Algorithms.

Physical Description:

1 online resource (XXII, 859 pages) : 312 illustrations, 248 illustrations in color.

Edition:

1st ed. 2019.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2019.

System Details:

text file PDF

Summary:

This two-volume set of LNAI 11775 and LNAI 11776 constitutes the refereed proceedings of the 12th International Conference on Knowledge Science, Engineering and Management, KSEM 2019, held in Athens, Greece, in August 2019. The 77 revised full papers and 23 short papers presented together with 10 poster papers were carefully reviewed and selected from 240 submissions. The papers of the first volume are organized in the following topical sections: Formal Reasoning and Ontologies; Recommendation Algorithms and Systems; Social Knowledge Analysis and Management ; Data Processing and Data Mining; Image and Video Data Analysis; Deep Learning; Knowledge Graph and Knowledge Management; Machine Learning; and Knowledge Engineering Applications. The papers of the second volume are organized in the following topical sections: Probabilistic Models and Applications; Text Mining and Document Analysis; Knowledge Theories and Models; and Network Knowledge Representation and Learning. .

Contents:

• Formal Reasoning and Ontologies
• Recommendation Algorithms and Systems
• Social Knowledge Analysis and Management
• Data Processing and Data Mining
• Image and Video Data Analysis
• Deep Learning
• Knowledge Graph and Knowledge Management
• Machine Learning
• Knowledge Engineering Applications. .

Other Format:

Printed edition:

ISBN:

• 978-3-030-29551-6
• 9783030295516

Access Restriction:

Restricted for use by site license.