04783nam 22008055 450 991048382980332120200707002932.03-319-57529-510.1007/978-3-319-57529-2(CKB)3850000000027406(DE-He213)978-3-319-57529-2(MiAaPQ)EBC6285072(MiAaPQ)EBC5577649(Au-PeEL)EBL5577649(OCoLC)985359153(PPN)200512595(EXLCZ)99385000000002740620170422d2017 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierAdvances in Knowledge Discovery and Data Mining[electronic resource] 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part II /edited by Jinho Kim, Kyuseok Shim, Longbing Cao, Jae-Gil Lee, Xuemin Lin, Yang-Sae Moon1st ed. 2017.Cham :Springer International Publishing :Imprint: Springer,2017.1 online resource (XXXII, 857 p. 252 illus.)Lecture Notes in Artificial Intelligence ;102353-319-57528-7 Classification and deep learning -- Social network and graph mining -- Privacy-preserving mining and security/risk applications -- Spatio-temporal and sequential data mining -- Clustering and anomaly detection -- Recommender system -- Feature selection -- Text and opinion mining -- Clustering and matrix factorization -- Dynamic, stream data mining -- Novel models and algorithms -- Behavioral data mining -- Graph clustering and community detection -- Dimensionality reduction.This two-volume set, LNAI 10234 and 10235, constitutes the thoroughly refereed proceedings of the 21st Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2017, held in Jeju, South Korea, in May 2017. The 129 full papers were carefully reviewed and selected from 458 submissions. They are organized in topical sections named: classification and deep learning; social network and graph mining; privacy-preserving mining and security/risk applications; spatio-temporal and sequential data mining; clustering and anomaly detection; recommender system; feature selection; text and opinion mining; clustering and matrix factorization; dynamic, stream data mining; novel models and algorithms; behavioral data mining; graph clustering and community detection; dimensionality reduction.Lecture Notes in Artificial Intelligence ;10235Data miningArtificial intelligenceInformation storage and retrievalApplication softwareDatabase managementComputer securityData Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Information Storage and Retrievalhttps://scigraph.springernature.com/ontologies/product-market-codes/I18032Information Systems Applications (incl. Internet)https://scigraph.springernature.com/ontologies/product-market-codes/I18040Database Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/I18024Systems and Data Securityhttps://scigraph.springernature.com/ontologies/product-market-codes/I28060Data mining.Artificial intelligence.Information storage and retrieval.Application software.Database management.Computer security.Data Mining and Knowledge Discovery.Artificial Intelligence.Information Storage and Retrieval.Information Systems Applications (incl. Internet).Database Management.Systems and Data Security.006.3Kim Jinhoedthttp://id.loc.gov/vocabulary/relators/edtShim Kyuseokedthttp://id.loc.gov/vocabulary/relators/edtCao Longbingedthttp://id.loc.gov/vocabulary/relators/edtLee Jae-Giledthttp://id.loc.gov/vocabulary/relators/edtLin Xueminedthttp://id.loc.gov/vocabulary/relators/edtMoon Yang-Saeedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910483829803321Advances in Knowledge Discovery and Data Mining772012UNINA