000771046 000__ 03020cam\a2200601Mi\4500
000771046 001__ 771046
000771046 005__ 20230306142432.0
000771046 006__ m\\\\\o\\d\\\\\\\\
000771046 007__ cr\un\nnnunnun
000771046 008__ 151124s2015\\\\sz\a\\\\od\\\\101\0\eng\d
000771046 019__ $$a932003044$$a961848664$$a963328079$$a964878563
000771046 020__ $$a9783662485774$$q(electronic book)
000771046 020__ $$a366248577X$$q(electronic book)
000771046 020__ $$z9783662485767
000771046 020__ $$z3662485761
000771046 0247_ $$a10.1007/978-3-662-48577-4$$2doi
000771046 035__ $$aSP(OCoLC)ocn932170780
000771046 035__ $$aSP(OCoLC)932170780$$z(OCoLC)932003044$$z(OCoLC)961848664$$z(OCoLC)963328079$$z(OCoLC)964878563
000771046 040__ $$aNUI$$beng$$epn$$cNUI$$dOCLCO$$dAZU$$dORU$$dGW5XE$$dOCLCO$$dYDXCP$$dOCLCF$$dOCLCO$$dOCLCQ$$dOCLCO$$dVT2$$dIAO$$dIAS$$dIAD$$dJBG
000771046 049__ $$aISEA
000771046 050_4 $$aQA76.9.D3
000771046 08204 $$a005.74$$223
000771046 1112_ $$aCHDD (Workshop)$$n(1st :$$d2012 :$$cNaples, Italy)
000771046 24510 $$aClustering high-dimensional data :$$bFirst International Workshop, CHDD 2012, Naples, Italy, May 15, 2012, Revised Selected Papers /$$cedited by Francesco Masulli, Alfredo Petrosino, Stefano Rovetta.
000771046 2463_ $$aCHDD 2012
000771046 264_1 $$aBerlin :$$bSpringer,$$c2015.
000771046 300__ $$a1 online resource (ix, 149 pages) :$$bcolor illustrations.
000771046 336__ $$atext$$btxt$$2rdacontent
000771046 337__ $$acomputer$$bc$$2rdamedia
000771046 338__ $$aonline resource$$bcr$$2rdacarrier
000771046 347__ $$atext file$$bPDF$$2rda
000771046 4901_ $$aLecture Notes in Computer Science,$$x0302-9743 ;$$v7627
000771046 4901_ $$aLNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI
000771046 500__ $$aIncludes author index.
000771046 506__ $$aAccess limited to authorized users.
000771046 520__ $$aThis book constitutes the proceedings of the International Workshop on Clustering High-Dimensional Data, CHDD 2012, held in Naples, Italy, in May 2012. The 9 papers presented in this volume were carefully reviewed and selected from 15 submissions. They deal with the general subject and issues of high-dimensional data clustering; present examples of techniques used to find and investigate clusters in high dimensionality; and the most common approach to tackle dimensionality problems, namely, dimensionality reduction and its application in clustering.
000771046 650_0 $$aDatabases$$vCongresses.
000771046 650_0 $$aComputer science.
000771046 650_0 $$aAlgorithms.
000771046 650_0 $$aDatabase management.
000771046 650_0 $$aData mining.
000771046 650_0 $$aInformation storage and retrieval.
000771046 650_0 $$aArtificial intelligence.
000771046 7001_ $$aMasulli, F.$$q(Francesco),$$eeditor.
000771046 7001_ $$aPetrosino, Alfredo,$$eeditor.
000771046 7001_ $$aRovetta, Stefano,$$eeditor.
000771046 77608 $$iPrint version:$$z9783662485767
000771046 830_0 $$aLecture notes in computer science ;$$v7627.
000771046 830_0 $$aLNCS sublibrary.$$nSL 3,$$pInformation systems and applications, incl. Internet/Web, and HCI.
000771046 852__ $$bebk
000771046 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-662-48577-4$$zOnline Access$$91397441.1
000771046 909CO $$ooai:library.usi.edu:771046$$pGLOBAL_SET
000771046 980__ $$aEBOOK
000771046 980__ $$aBIB
000771046 982__ $$aEbook
000771046 983__ $$aOnline
000771046 994__ $$a92$$bISE