04968nam 22006975 450 99641831460331620200701145059.03-030-47436-410.1007/978-3-030-47436-2(CKB)4100000011273683(MiAaPQ)EBC6193069(DE-He213)978-3-030-47436-2(PPN)248394630(EXLCZ)99410000001127368320200508d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAdvances in Knowledge Discovery and Data Mining[electronic resource] 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 ;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 ;12085Artificial intelligenceComputersApplication softwareOptical data processingArtificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Information Systems and Communication Servicehttps://scigraph.springernature.com/ontologies/product-market-codes/I18008Computer Applicationshttps://scigraph.springernature.com/ontologies/product-market-codes/I23001Computing Milieuxhttps://scigraph.springernature.com/ontologies/product-market-codes/I24008Computer Imaging, Vision, Pattern Recognition and Graphicshttps://scigraph.springernature.com/ontologies/product-market-codes/I22005Artificial 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.006.3Lauw 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/edtMiAaPQMiAaPQMiAaPQBOOK996418314603316Advances in Knowledge Discovery and Data Mining772012UNISA