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Advanced data mining and applications20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024 : proceedings.Part II /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advanced data mining and applicationsedited by Quan Z. Sheng ... [et al.].
Reminder of title:	20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024 : proceedings.
remainder title:	ADMA 2024
other author:	Sheng, Quan Z.
corporate name:
Published:	Singapore :Springer Nature Singapore :2025.
Description:	xix, 432 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Data miningCongresses.
Online resource:	https://doi.org/10.1007/978-981-96-0814-0
ISBN:	9789819608140$q(electronic bk.)

Advanced data mining and applications20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024 : proceedings.Part II /
Advanced data mining and applications20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024 : proceedings.Part II /[electronic resource] :ADMA 2024edited by Quan Z. Sheng ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xix, 432 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,153880302-9743 ;. - Lecture notes in computer science ;4891..

This six-volume set, LNAI 15387-15392, constitutes the refereed proceedings of the 20th International Conference on Advanced Data Mining and Applications, ADMA 2024, held in Sydney, New South Wales, Australia, during December 3-5, 2024. The 159 full papers presented here were carefully reviewed and selected from 422 submissions. These papers have been organized under the following topical sections across the different volumes: - Part I : Applications; Data mining. Part II : Data mining foundations and algorithms; Federated learning; Knowledge graph. Part III : Graph mining; Spatial data mining. Part IV : Health informatics. Part V : Multi-modal; Natural language processing. Part VI : Recommendation systems; Security and privacy issues.

ISBN: 9789819608140$q(electronic bk.)

Standard No.: 10.1007/978-981-96-0814-0doiSubjects--Topical Terms:

380776
Data mining
--Congresses.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.3

Advanced data mining and applications20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024 : proceedings.Part II /
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