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

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
• Edizione: 1st ed. 2022.
• Descrizione fisica: 1 online resource (570 pages)
• Disciplina: 006.3; 006.312
• Soggetto topico: Artificial intelligence; Social sciences - Data processing; Computer science - Mathematics; Mathematical statistics; Computer vision; Pattern recognition systems; Application software; Artificial Intelligence; Computer Application in Social and Behavioral Sciences; Probability and Statistics in Computer Science; Computer Vision; Automated Pattern Recognition; Computer and Information Systems Applications
• Persona (resp. second.): GamaJoão
• 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
• ISBN: 3-031-05936-0
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910568279103321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Artificial Intelligence, . 2945-9141 ; ; 13281