000755510 000__ 02976cam\a2200529Ii\4500 000755510 001__ 755510 000755510 005__ 20230306141852.0 000755510 006__ m\\\\\o\\d\\\\\\\\ 000755510 007__ cr\cn\nnnunnun 000755510 008__ 160524s2016\\\\sz\a\\\\o\\\\\101\0\eng\d 000755510 020__ $$a9783319393155$$q(electronic book) 000755510 020__ $$a3319393154$$q(electronic book) 000755510 020__ $$z9783319393148 000755510 035__ $$aSP(OCoLC)ocn950459533 000755510 035__ $$aSP(OCoLC)950459533 000755510 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dOCLCO$$dYDXCP$$dOCLCF$$dOCLCO$$dUPM 000755510 049__ $$aISEA 000755510 050_4 $$aQA76.9.D343 000755510 08204 $$a006.3/12$$223 000755510 1112_ $$aNFMCP (Workshop)$$n(4th :$$d2015 :$$cPorto, Portugal) 000755510 24510 $$aNew frontiers in mining complex patterns$$h[electronic resource] :$$b4ht International Workshop, NFMCP 2015, held in conjunction with ECML-PKDD 2015, Porto, Portugal, September 7, 2015, Revised selected papers /$$cMichelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras (eds.). 000755510 2463_ $$aNFMCP 2015 000755510 264_1 $$aCham :$$bSpringer,$$c2016. 000755510 300__ $$a1 online resource (x, 239 pages) :$$billustrations. 000755510 336__ $$atext$$btxt$$2rdacontent 000755510 337__ $$acomputer$$bc$$2rdamedia 000755510 338__ $$aonline resource$$bcr$$2rdacarrier 000755510 4901_ $$aLecture notes in artificial intelligence,$$x0302-9743 ;$$v9607 000755510 4901_ $$aLNCS sublibrary. SL 7, Artificial intelligence 000755510 500__ $$aIncludes author index. 000755510 506__ $$aAccess limited to authorized users. 000755510 520__ $$aThis book constitutes the thoroughly refereed post-conference proceedings of the 4th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2015, held in conjunction with ECML-PKDD 2015 in Porto, Portugal, in September 2015. The 15 revised full papers presented together with one invited talk were carefully reviewed and selected from 19 submissions. They illustrate advanced data mining techniques which preserve the informative richness of complex data and allow for efficient and effective identification of complex information units present in such data. The papers are organized in the following sections: data stream mining, classification, mining complex data, and sequences. 000755510 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed May 24, 2016). 000755510 650_0 $$aData mining$$vCongresses. 000755510 650_0 $$aPattern recognition systems$$vCongresses. 000755510 7001_ $$aCeci, Michelangelo,$$eeditor. 000755510 7001_ $$aLoglisci, Corrado,$$eeditor. 000755510 7001_ $$aManco, Giuseppe,$$eeditor. 000755510 7001_ $$aMasciari, Elio,$$eeditor. 000755510 7001_ $$aRaƛ, Zbigniew,$$eeditor. 000755510 7112_ $$aECML PKDD (Conference)$$d(2015 :$$cPorto, Portugal) 000755510 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence ;$$v9607. 000755510 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence. 000755510 852__ $$bebk 000755510 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-39315-5$$zOnline Access$$91397441.1 000755510 909CO $$ooai:library.usi.edu:755510$$pGLOBAL_SET 000755510 980__ $$aEBOOK 000755510 980__ $$aBIB 000755510 982__ $$aEbook 000755510 983__ $$aOnline 000755510 994__ $$a92$$bISE