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Advances in Knowledge Discovery and Data Mining : 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16–19, 2022, Proceedings, Part I / / edited by João Gama, Tianrui Li, Yang Yu, Enhong Chen, Yu Zheng, Fei Teng



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Titolo: Advances in Knowledge Discovery and Data Mining : 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16–19, 2022, Proceedings, Part I / / edited by João Gama, Tianrui Li, Yang Yu, Enhong Chen, Yu Zheng, Fei Teng Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Edizione: 1st ed. 2022.
Descrizione fisica: 1 online resource (677 pages)
Disciplina: 006.3
006.312
Soggetto topico: Artificial intelligence
Algorithms
Education - Data processing
Computer science - Mathematics
Computer vision
Computer engineering
Computer networks
Artificial Intelligence
Design and Analysis of Algorithms
Computers and Education
Mathematics of Computing
Computer Vision
Computer Engineering and Networks
Persona (resp. second.): ChenEnhong
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Data Science -- Big Data -- Data mining. Model selection, -- Biological data -- IoT data, -- Deep learning. Meta-learning -- Security -- Privacy.
Sommario/riassunto: 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.
Titolo autorizzato: Advances in Knowledge Discovery and Data Mining  Visualizza cluster
ISBN: 3-031-05933-6
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910568240003321
Lo trovi qui: Univ. Federico II
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Serie: Lecture Notes in Artificial Intelligence, . 2945-9141 ; ; 13280