Advances in Knowledge Discovery and Data Mining : 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11–14, 2020, Proceedings, Part II / / edited by Hady W. Lauw, Raymond Chi-Wing Wong, Alexandros Ntoulas, Ee-Peng Lim, See-Kiong Ng, Sinno Jialin Pan

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
• Edizione: 1st ed. 2020.
• Descrizione fisica: 1 online resource (xxxviii, 924 pages) : illustrations
• Disciplina: 006.3; 006.312
• Soggetto topico: Artificial intelligence; Computers; Application software; Optical data processing; Artificial Intelligence; Information Systems and Communication Service; Computer Applications; Computing Milieux; Computer Imaging, Vision, Pattern Recognition and Graphics
• Persona (resp. second.): LauwHady W; WongRaymond Chi-Wing; NtoulasAlexandros; LimEe-Peng; NgSee-Kiong; PanSinno Jialin
• Nota di contenuto: Mining Sequential Data -- Mining Imbalanced Data -- Association -- Privacy and Security -- Supervised Learning -- Novel Algorithms -- Mining Multi-Media/Multi-Dimensional Data -- Application -- Mining Graph and Network Data -- Anomaly Detection and Analytics -- Mining Spatial, Temporal, Unstructured and Semi-Structured Data -- Sentiment Analysis -- Statistical/Graphical Model -- Multi-Source/Distributed/Parallel/Cloud Computing.
• Sommario/riassunto: The two-volume set LNAI 12084 and 12085 constitutes the thoroughly refereed proceedings of the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, which was due to be held in Singapore, in May 2020. The conference was held virtually due to the COVID-19 pandemic. The 135 full papers presented were carefully reviewed and selected from 628 submissions. The papers present 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, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: recommender systems; classification; clustering; mining social networks; representation learning and embedding; mining behavioral data; deep learning; feature extraction and selection; human, domain, organizational and social factors in data mining; mining sequential data; mining imbalanced data; association; privacy and security; supervised learning; novel algorithms; mining multi-media/multi-dimensional data; application; mining graph and network data; anomaly detection and analytics; mining spatial, temporal, unstructured and semi-structured data; sentiment analysis; statistical/graphical model; multi-source/distributed/parallel/cloud computing.
• Titolo autorizzato: Advances in Knowledge Discovery and Data Mining
• ISBN: 3-030-47436-4
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910409665603321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Artificial Intelligence ; ; 12085