Advances in knowledge discovery and data mining [electronic resource] : 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings. Part I / João Gama, Tianrui Li, Yang Yu, Enhong Chen, Yu Zheng, Fei Teng (eds.).
2022
QA76.9.D343
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Title
Advances in knowledge discovery and data mining [electronic resource] : 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings. Part I / João Gama, Tianrui Li, Yang Yu, Enhong Chen, Yu Zheng, Fei Teng (eds.).
ISBN
9783031059339 (electronic bk.)
3031059336 (electronic bk.)
9783031059322 (print)
3031059328
3031059336 (electronic bk.)
9783031059322 (print)
3031059328
Published
Cham, Switzerland : Springer, 2022.
Language
English
Description
1 online resource (677 pages).
Item Number
10.1007/978-3-031-05933-9 doi
Call Number
QA76.9.D343
Dewey Decimal Classification
006.3
Summary
The 3-volume set LNAI 13280, LNAI 13281 and LNAI 13282 constitutes the proceedings of the 26th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2022, which was held during May 2022 in Chengdu, China. The 121 papers included in the proceedings were carefully reviewed and selected from a total of 558 submissions. They were organized in topical sections as follows: Part I: Data Science and Big Data Technologies, Part II: Foundations; and Part III: Applications.
Note
Includes author index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed May 24, 2022).
Series
Lecture notes in computer science ; 13280.
Lecture notes in computer science. Lecture notes in artificial intelligence.
LNCS sublibrary. SL 7, Artificial intelligence.
Lecture notes in computer science. Lecture notes in artificial intelligence.
LNCS sublibrary. SL 7, Artificial intelligence.
Available in Other Form
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Table of Contents
Data Science
Big Data
Data mining. Model selection,
Biological data
IoT data,
Deep learning. Meta-learning
Security
Privacy.
Big Data
Data mining. Model selection,
Biological data
IoT data,
Deep learning. Meta-learning
Security
Privacy.