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Knowledge science, engineering and management13th International Conference, KSEM 2020, Hangzhou, China, August 28-30, 2020 : proceedings.Part I /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Knowledge science, engineering and managementedited by Gang Li ... [et al.].
Reminder of title:	13th International Conference, KSEM 2020, Hangzhou, China, August 28-30, 2020 : proceedings.
remainder title:	KSEM 2020
other author:	Li, Gang.
corporate name:
Published:	Cham :Springer International Publishing :2020.
Description:	xxvi, 510 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Knowledge acquisition (Expert systems)
Online resource:	https://doi.org/10.1007/978-3-030-55130-8
ISBN:	9783030551308$q(electronic bk.)

Knowledge science, engineering and management13th 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 ;4891..

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$q(electronic bk.)

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

199436
Knowledge acquisition (Expert systems)

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

Dewey Class. No.: 006.331

Knowledge science, engineering and management13th International Conference, KSEM 2020, Hangzhou, China, August 28-30, 2020 : proceedings.Part I /
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