000799985 000__ 03339cam\a2200589Ii\4500 000799985 001__ 799985 000799985 005__ 20230306143654.0 000799985 006__ m\\\\\o\\d\\\\\\\\ 000799985 007__ cr\un\nnnunnun 000799985 008__ 170922s2017\\\\sz\a\\\\o\\\\\101\0\eng\d 000799985 020__ $$a9783319677866$$q(electronic book) 000799985 020__ $$a3319677861$$q(electronic book) 000799985 020__ $$z9783319677859 000799985 0247_ $$a10.1007/978-3-319-67786-6$$2doi 000799985 035__ $$aSP(OCoLC)on1004511212 000799985 035__ $$aSP(OCoLC)1004511212 000799985 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dOCLCF$$dYDX$$dNJR 000799985 049__ $$aISEA 000799985 050_4 $$aQ174$$b.I5625 2017eb 000799985 08204 $$a501$$223 000799985 1112_ $$aInternational Conference on Discovery Science$$n(20th :$$d2017 :$$cKyoto, Japan) 000799985 24510 $$aDiscovery science :$$b20th International Conference, DS 2017, Kyoto, Japan, October 15-17, 2017, Proceedings /$$cAkihiro Yamamoto, Takuya Kida, Takeaki Uno, Tetsuji Kuboyama (eds.). 000799985 2463_ $$aDS 2017 000799985 264_1 $$aCham, Switzerland :$$bSpringer,$$c2017. 000799985 300__ $$a1 online resource (xv, 357 pages) :$$billustrations. 000799985 336__ $$atext$$btxt$$2rdacontent 000799985 337__ $$acomputer$$bc$$2rdamedia 000799985 338__ $$aonline resource$$bcr$$2rdacarrier 000799985 4901_ $$aLecture notes in computer science,$$x0302-9743 ;$$v10558 000799985 4901_ $$aLecture notes in artificial intelligence 000799985 4901_ $$aLNCS sublibrary. SL 7, Artificial intelligence 000799985 500__ $$aInternational conference proceedings. 000799985 500__ $$aIncludes author index. 000799985 506__ $$aAccess limited to authorized users. 000799985 520__ $$aThis book constitutes the proceedings of the 20th International Conference on Discovery Science, DS 2017, held in Kyoto, Japan, in October 2017, co-located with the International Conference on Algorithmic Learning Theory, ALT 2017. The 18 revised full papers presented together with 6 short papers and 2 invited talks in this volume were carefully reviewed and selected from 42 submissions. The scope of the conference includes the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data analysis, big data analysis as well as their application in various scientific domains. The papers are organized in topical sections on machine learning: online learning, regression, label classification, deep learning, feature selection, recommendation system; and knowledge discovery: recommendation system, community detection, pattern mining, misc. 000799985 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 22, 2017). 000799985 650_0 $$aScience$$xPhilosophy$$vCongresses. 000799985 650_0 $$aDiscoveries in science$$vCongresses. 000799985 650_0 $$aResearch$$xAutomation$$vCongresses. 000799985 650_0 $$aMachine learning$$vCongresses. 000799985 650_0 $$aData mining$$vCongresses. 000799985 7001_ $$aYamamoto, Akihiro,$$d1960-$$eeditor. 000799985 7001_ $$aKida, Takuya,$$eeditor. 000799985 7001_ $$aUno, Takeaki,$$eeditor. 000799985 7001_ $$aKuboyama, Tetsuji,$$eeditor. 000799985 830_0 $$aLecture notes in computer science ;$$v10558. 000799985 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence. 000799985 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence. 000799985 852__ $$bebk 000799985 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-67786-6$$zOnline Access$$91397441.1 000799985 909CO $$ooai:library.usi.edu:799985$$pGLOBAL_SET 000799985 980__ $$aEBOOK 000799985 980__ $$aBIB 000799985 982__ $$aEbook 000799985 983__ $$aOnline 000799985 994__ $$a92$$bISE