LEADER 03417nam 22005655 450 001 9910483681703321 005 20200701101627.0 010 $a3-030-18129-4 024 7 $a10.1007/978-3-030-18129-1 035 $a(CKB)4100000008493299 035 $a(DE-He213)978-3-030-18129-1 035 $a(MiAaPQ)EBC5926234 035 $a(PPN)243769253 035 $a(EXLCZ)994100000008493299 100 $a20190620d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Knowledge Discovery and Management $eVolume 8 /$fedited by Bruno Pinaud, Fabrice Guillet, Fabien Gandon, Christine Largeron 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XVIII, 183 p. 75 illus., 33 illus. in color.) 225 1 $aStudies in Computational Intelligence,$x1860-949X ;$v834 311 $a3-030-18128-6 327 $aPart I: Clustering -- Chapter 1. Model based co-clustering of mixed numerical and binary data -- Chapter 2. Co-clustering based exploratory analysis of mixed-type data tables -- Part II: Textual Data -- Chapter 3. Automatically selecting complementary vector representations for semantic textual similarity, etc. 330 $aThis book highlights novel research in Knowledge Discovery and Management (KDM), gathering the extended, peer-reviewed versions of outstanding papers presented at the annual conferences EGC?2017 & EGC?2018. The EGC conference cycle was founded by the International French-speaking EGC society (?Extraction et Gestion des Connaissances?) in 2003, and has since become a respected fixture among the French-speaking community. In addition to the annual conference, the society organizes various other events in order to promote exchanges between researchers and companies concerned with KDM and its applications to business, administration, industry and public organizations. Addressing novel research in data science, semantic Web, clustering, and classification, the content presented here will chiefly benefit researchers interested in these fields, including Ph.D./M.Sc. students, at public and private laboratories alike. 410 0$aStudies in Computational Intelligence,$x1860-949X ;$v834 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a006.3 676 $a006.312 702 $aPinaud$b Bruno$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGuillet$b Fabrice$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGandon$b Fabien$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLargeron$b Christine$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483681703321 996 $aAdvances in Knowledge Discovery and Management$91540610 997 $aUNINA