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Advances in knowledge discovery and data mining27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023 : proceedings.Part IV /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in knowledge discovery and data miningedited by Hisashi Kashima, Tsuyoshi Ide, Wen-Chih Peng.
Reminder of title:	27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023 : proceedings.
remainder title:	PAKDD 2023
other author:	Kashima, Hisashi.
corporate name:
Published:	Cham :Springer Nature Switzerland :2023.
Description:	1 online resource (xii, 354 p.) :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Data miningCongresses.
Online resource:	https://doi.org/10.1007/978-3-031-33383-5
ISBN:	9783031333835$q(electronic bk.)

Advances in knowledge discovery and data mining27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023 : proceedings.Part IV /
Advances in knowledge discovery and data mining27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023 : proceedings.Part IV /[electronic resource] :PAKDD 2023edited by Hisashi Kashima, Tsuyoshi Ide, Wen-Chih Peng. - Cham :Springer Nature Switzerland :2023. - 1 online resource (xii, 354 p.) :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,139381611-3349 ;. - Lecture notes in computer science ;4891..

The 4-volume set LNAI 13935 - 13938 constitutes the proceedings of the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, which took place in Osaka, Japan during May 25-28, 2023. The 143 papers presented in these proceedings were carefully reviewed and selected from 813 submissions. They deal with new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, big data technologies, and foundations.

ISBN: 9783031333835$q(electronic bk.)

Standard No.: 10.1007/978-3-031-33383-5doiSubjects--Topical Terms:

380776
Data mining
--Congresses.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Advances in knowledge discovery and data mining27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023 : proceedings.Part IV /
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