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Knowledge science, engineering and m...

KSEM (Conference) (2020 :)

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Knowledge science, engineering and management = 13th International Conference, KSEM 2020, Hangzhou, China, August 28-30, 2020 : proceedings.. Part I /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Knowledge science, engineering and management/ edited by Gang Li ... [et al.].
其他題名:	13th International Conference, KSEM 2020, Hangzhou, China, August 28-30, 2020 : proceedings.
其他題名:	KSEM 2020
其他作者:	Li, Gang.
團體作者:	KSEM (Conference)
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	xxvi, 510 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Knowledge acquisition (Expert systems) - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-030-55130-8
ISBN:	9783030551308

Knowledge science, engineering and management = 13th International Conference, KSEM 2020, Hangzhou, China, August 28-30, 2020 : proceedings.. Part I /
Knowledge science, engineering and management13th International Conference, KSEM 2020, Hangzhou, China, August 28-30, 2020 : proceedings.Part I /[electronic resource] :KSEM 2020edited by Gang Li ... [et al.]. - Cham :Springer International Publishing :2020. - xxvi, 510 p. :ill., digital ;24 cm. - Lecture notes in computer science,122740302-9743 ;. - Lecture notes in computer science ;12274..

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.

ISBN: 9783030551308

Standard No.: 10.1007/978-3-030-55130-8doiSubjects--Topical Terms:

576358
Knowledge acquisition (Expert systems)
--Congresses.

LC Class. No.: QA76.76.E95 / K77 2020

Dewey Class. No.: 006.331

Knowledge science, engineering and management = 13th International Conference, KSEM 2020, Hangzhou, China, August 28-30, 2020 : proceedings.. Part I /
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