04785nam 22007575 450 991040966560332120251113181122.03-030-47436-410.1007/978-3-030-47436-2(CKB)4100000011273683(MiAaPQ)EBC6193069(DE-He213)978-3-030-47436-2(PPN)248394630(EXLCZ)99410000001127368320200508d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAdvances 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 Pan1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (xxxviii, 924 pages) illustrationsLecture Notes in Artificial Intelligence,2945-9141 ;120853-030-47435-6 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.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.Lecture Notes in Artificial Intelligence,2945-9141 ;12085Artificial intelligenceDatabase managementApplication softwareComputersImage processingDigital techniquesComputer visionArtificial IntelligenceDatabase Management SystemComputer and Information Systems ApplicationsComputing MilieuxComputer Imaging, Vision, Pattern Recognition and GraphicsArtificial intelligence.Database management.Application software.Computers.Image processingDigital techniques.Computer vision.Artificial Intelligence.Database Management System.Computer and Information Systems Applications.Computing Milieux.Computer Imaging, Vision, Pattern Recognition and Graphics.006.3006.312Lauw Hady Wedthttp://id.loc.gov/vocabulary/relators/edtWong Raymond Chi-Wingedthttp://id.loc.gov/vocabulary/relators/edtNtoulas Alexandrosedthttp://id.loc.gov/vocabulary/relators/edtLim Ee-Pengedthttp://id.loc.gov/vocabulary/relators/edtNg See-Kiongedthttp://id.loc.gov/vocabulary/relators/edtPan Sinno Jialinedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910409665603321Advances in Knowledge Discovery and Data Mining772012UNINA