Knowledge Science, Engineering and Management (Paperback)

Gang Li

ISBN 10: 3030553922 / ISBN 13: 9783030553920

Editore: Springer Nature Switzerland AG, Cham, 2020

Paperback. This two-volume set of LNAI 12274 and LNAI 12275 constitutes the refereed proceedings of the 13th International Conference on Knowledge Science, Engineering and Management, KSEM 2020, held in Hangzhou, China, in August 2020.*The 58 revised full papers and 27 short papers were carefully reviewed and selected from 291 submissions. The papers of the first volume are organized in the following topical sections: knowledge graph; knowledge representation; knowledge management for education; knowledge-based systems; and data processing and mining. The papers of the second volume are organized in the following topical sections: machine learning; recommendation algorithms and systems; social knowledge analysis and management; text mining and document analysis; and deep learning.*The conference was held virtually due to the COVID-19 pandemic. This two-volume set of LNAI 12274 and LNAI 12275 constitutes the refereed proceedings of the 13th International Conference on Knowledge Science, Engineering and Management, KSEM 2020, held in Hangzhou, China, in August 2020.*The 58 revised full papers and 27 short papers were carefully reviewed and selected from 291 submissions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9783030553920

Riassunto:

This two-volume set of LNAI 12274 and LNAI 12275 constitutes the refereed proceedings of the 13th International Conference on Knowledge Science, Engineering and Management, KSEM 2020, held in Hangzhou, China, in August 2020.*

The 58 revised full papers and 27 short papers were carefully reviewed and selected from 291 submissions. The papers of the first volume are organized in the following topical sections: knowledge graph; knowledge representation; knowledge management for education; knowledge-based systems; and data processing and mining. The papers of the second volume are organized in the following topical sections: machine learning; recommendation algorithms and systems; social knowledge analysis and management; text mining and document analysis; and deep learning.

*The conference was held virtually due to the COVID-19 pandemic.

Dati bibliografici

Titolo: Knowledge Science, Engineering and ...
Casa editrice: Springer Nature Switzerland AG, Cham
Data di pubblicazione: 2020
Legatura: Paperback
Condizione: new
Edizione: prima edizione