Knowledge Science, Engineering and Management - neues Buch

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ISBN/EAN: 9783030295516

ISBN - alternative Schreibweisen:
978-3-030-29551-6
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: christo, apostol

Daten vom Verlag:

Autor/in: Christos Douligeris; Dimitris Karagiannis; Dimitris Apostolou
Titel: Lecture Notes in Artificial Intelligence; Lecture Notes in Computer Science; Knowledge Science, Engineering and Management - 12th International Conference, KSEM 2019, Athens, Greece, August 28–30, 2019, Proceedings, Part I
Verlag: Springer; Springer International Publishing
859 Seiten
Erscheinungsjahr: 2019-08-20
Cham; CH
Sprache: Englisch
96,29 € (DE)
99,00 € (AT)
118,00 CHF (CH)
Available
XXII, 859 p. 312 illus., 248 illus. in color.

EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; classification; classification accuracy; data mining; image processing; information retrieval; knowledge-based system; learning algorithms; natural language processing systems; neural networks; probability recommender systems; search engines semantics; signal processing; social networks; support vector machines SVM; world wide web; algorithm analysis and problem complexity; C; Artificial Intelligence; Computer and Information Systems Applications; Computer Application in Social and Behavioral Sciences; Computer Application in Administrative Data Processing; Algorithms; Computer Science; Angewandte Informatik; Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften; Algorithmen und Datenstrukturen; BC

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. 

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.