LEADER 04585nam 22007335 450 001 996466316203316 005 20200702063042.0 010 $a3-030-16148-X 024 7 $a10.1007/978-3-030-16148-4 035 $a(CKB)4100000007823498 035 $a(DE-He213)978-3-030-16148-4 035 $a(MiAaPQ)EBC5921797 035 $a(PPN)23566832X 035 $a(EXLCZ)994100000007823498 100 $a20190322d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Knowledge Discovery and Data Mining$b[electronic resource] $e23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part I /$fedited by Qiang Yang, Zhi-Hua Zhou, Zhiguo Gong, Min-Ling Zhang, Sheng-Jun Huang 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XL, 627 p. 310 illus., 146 illus. in color.) 225 1 $aLecture Notes in Artificial Intelligence ;$v11439 300 $aIncludes index. 311 $a3-030-16147-1 330 $aThe three-volume set LNAI 11439, 11440, and 11441 constitutes the thoroughly refereed proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed and selected from 542 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: classification and supervised learning; text and opinion mining; spatio-temporal and stream data mining; factor and tensor analysis; healthcare, bioinformatics and related topics; clustering and anomaly detection; deep learning models and applications; sequential pattern mining; weakly supervised learning; recommender system; social network and graph mining; data pre-processing and feature selection; representation learning and embedding; mining unstructured and semi-structured data; behavioral data mining; visual data mining; and knowledge graph and interpretable data mining. 410 0$aLecture Notes in Artificial Intelligence ;$v11439 606 $aArtificial intelligence 606 $aData mining 606 $aApplication software 606 $aOptical data processing 606 $aComputer security 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aComputer Appl. in Social and Behavioral Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/I23028 606 $aSystems and Data Security$3https://scigraph.springernature.com/ontologies/product-market-codes/I28060 615 0$aArtificial intelligence. 615 0$aData mining. 615 0$aApplication software. 615 0$aOptical data processing. 615 0$aComputer security. 615 14$aArtificial Intelligence. 615 24$aData Mining and Knowledge Discovery. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aImage Processing and Computer Vision. 615 24$aComputer Appl. in Social and Behavioral Sciences. 615 24$aSystems and Data Security. 676 $a006.3 702 $aYang$b Qiang$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZhou$b Zhi-Hua$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGong$b Zhiguo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZhang$b Min-Ling$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHuang$b Sheng-Jun$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466316203316 996 $aAdvances in Knowledge Discovery and Data Mining$9772012 997 $aUNISA