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000932822 019__ $$a1155874992$$a1156736640$$a1157248226$$a1157698405$$a1158386003
000932822 020__ $$a9783030474263$$q(electronic book)
000932822 020__ $$a3030474267$$q(electronic book)
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000932822 0247_ $$a10.1007/978-3-030-47426-3$$2doi
000932822 0247_ $$a10.1007/978-3-030-47
000932822 035__ $$aSP(OCoLC)on1154763479
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000932822 1112_ $$aPAKDD (Conference)$$n(24th :$$d2020 :$$cSingapore)
000932822 24510 $$aAdvances in knowledge discovery and data mining :$$b24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020, Proceedings.$$nPart I /$$cHady W. Lauw, Raymond Chi-Wing Wong, Alexandros Ntoulas, Ee-Peng Lim, See-Kiong Ng, Sinno Jialin Pan (eds.).
000932822 2463_ $$aPAKDD 2020
000932822 264_1 $$aCham, Switzerland :$$bSpringer,$$c2020.
000932822 300__ $$a1 online resource (xxxvii, 886 pages) :$$billustrations.
000932822 336__ $$atext$$btxt$$2rdacontent
000932822 337__ $$acomputer$$bc$$2rdamedia
000932822 338__ $$aonline resource$$bcr$$2rdacarrier
000932822 347__ $$atext file$$bPDF$$2rda
000932822 4901_ $$aLecture notes in artificial intelligence
000932822 4901_ $$aLecture notes in computer science ;$$v12084
000932822 4901_ $$aLNCS Sublibrary: SL 7, Artificial Intelligence
000932822 500__ $$aInternational conference proceedings.
000932822 500__ $$aIncludes author index.
000932822 5050_ $$aRecommender 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.
000932822 506__ $$aAccess limited to authorized users.
000932822 520__ $$aThe 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.
000932822 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed May 19, 2020).
000932822 650_0 $$aData mining$$vCongresses.
000932822 7001_ $$aLauw, Hady W.,$$eeditor.
000932822 7001_ $$aWong, Raymond Chi-Wing,$$eeditor.
000932822 7001_ $$aNtoulas, Alexandros,$$eeditor.
000932822 7001_ $$aLim, Ee-Peng,$$eeditor.
000932822 7001_ $$aNg, See-Kiong,$$eeditor.
000932822 7001_ $$aPan, Sinno Jialin,$$d1980-$$eeditor.
000932822 77608 $$iPrint version:$$z9783030474256
000932822 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence.
000932822 830_0 $$aLecture notes in computer science ;$$v12084.
000932822 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence.
000932822 852__ $$bebk
000932822 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-47426-3$$zOnline Access$$91397441.1
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000932822 980__ $$aBIB
000932822 982__ $$aEbook
000932822 983__ $$aOnline
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