000898481 000__ 03244cam\a2200529Ii\4500 000898481 001__ 898481 000898481 005__ 20230306150230.0 000898481 006__ m\\\\\o\\d\\\\\\\\ 000898481 007__ cr\nn\nnnunnun 000898481 008__ 190628s2019\\\\sz\a\\\\o\\\\\001\0\eng\d 000898481 019__ $$a1108504980$$a1111074568 000898481 020__ $$a9783030181291$$q(electronic book) 000898481 020__ $$a3030181294$$q(electronic book) 000898481 020__ $$z9783030181284 000898481 020__ $$z3030181286 000898481 0248_ $$a10.1007/978-3-030-18 000898481 035__ $$aSP(OCoLC)on1106161427 000898481 035__ $$aSP(OCoLC)1106161427$$z(OCoLC)1108504980$$z(OCoLC)1111074568 000898481 040__ $$aLQU$$beng$$erda$$cLQU$$dNOC$$dGW5XE$$dYDXIT$$dOCLCF$$dYDX$$dDCT$$dUKMGB 000898481 049__ $$aISEA 000898481 050_4 $$aQA76.9.D343$$bA335 2019 000898481 08204 $$a006.312$$223 000898481 24500 $$aAdvances in knowledge discovery and management.$$nVolume 8 /$$cBruno Pinaud, Fabrice Guillet, Fabien Gandon, Christine Largeron, editors. 000898481 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2019] 000898481 300__ $$a1 online resource (xviii, 183 pages) :$$billustrations. 000898481 336__ $$atext$$btxt$$2rdacontent 000898481 337__ $$acomputer$$bc$$2rdamedia 000898481 338__ $$aonline resource$$bcr$$2rdacarrier 000898481 347__ $$atext file$$bPDF$$2rda 000898481 4901_ $$aStudies in computational intelligence ;$$vvolume 834 000898481 500__ $$aIncludes author index. 000898481 5050_ $$aPart I: Clustering -- Chapter 1. Model based co-clustering of mixed numerical and binary data -- Chapter 2. Co-clustering based exploratory analysis of mixed-type data tables -- Part II: Textual Data -- Chapter 3. Automatically selecting complementary vector representations for semantic textual similarity, etc. 000898481 506__ $$aAccess limited to authorized users. 000898481 520__ $$aThis book highlights novel research in Knowledge Discovery and Management (KDM), gathering the extended, peer-reviewed versions of outstanding papers presented at the annual conferences EGC2017 & EGC2018. The EGC conference cycle was founded by the International French-speaking EGC society ("Extraction et Gestion des Connaissances") in 2003, and has since become a respected fixture among the French-speaking community. In addition to the annual conference, the society organizes various other events in order to promote exchanges between researchers and companies concerned with KDM and its applications to business, administration, industry and public organizations. Addressing novel research in data science, semantic Web, clustering, and classification, the content presented here will chiefly benefit researchers interested in these fields, including Ph.D./M.Sc. students, at public and private laboratories alike. 000898481 588__ $$aDescription based on online resource; title from digital title page (viewed on August 01, 2019). 000898481 650_0 $$aData mining$$vCongresses. 000898481 650_0 $$aKnowledge management$$vCongresses. 000898481 7001_ $$aPinaud, Bruno,$$eeditor. 000898481 7001_ $$aGuillet, Fabrice,$$eeditor. 000898481 7001_ $$aGandon, Fabien,$$eeditor. 000898481 7001_ $$aLargeron, Christine,$$eeditor. 000898481 77608 $$iPrint version: $$z9783030181284 000898481 830_0 $$aStudies in computational intelligence ;$$vv. 834. 000898481 852__ $$bebk 000898481 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-18129-1$$zOnline Access$$91397441.1 000898481 909CO $$ooai:library.usi.edu:898481$$pGLOBAL_SET 000898481 980__ $$aEBOOK 000898481 980__ $$aBIB 000898481 982__ $$aEbook 000898481 983__ $$aOnline 000898481 994__ $$a92$$bISE