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020 _a9783662485774
_9978-3-662-48577-4
024 7 _a10.1007/978-3-662-48577-4
_2doi
050 4 _aQA76.9.D3
072 7 _aUN
_2bicssc
072 7 _aUMT
_2bicssc
072 7 _aCOM021000
_2bisacsh
082 0 4 _a005.74
_223
245 1 0 _aClustering High--Dimensional Data
_h[electronic resource] :
_bFirst International Workshop, CHDD 2012, Naples, Italy, May 15, 2012, Revised Selected Papers /
_cedited by Francesco Masulli, Alfredo Petrosino, Stefano Rovetta.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2015.
300 _aIX, 149 p. 41 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v7627
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. .
650 0 _aComputer science.
650 0 _aAlgorithms.
650 0 _aDatabase management.
650 0 _aData mining.
650 0 _aInformation storage and retrieval.
650 0 _aArtificial intelligence.
650 1 4 _aComputer Science.
650 2 4 _aDatabase Management.
650 2 4 _aInformation Systems Applications (incl. Internet).
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aInformation Storage and Retrieval.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aAlgorithm Analysis and Problem Complexity.
700 1 _aMasulli, Francesco.
_eeditor.
700 1 _aPetrosino, Alfredo.
_eeditor.
700 1 _aRovetta, Stefano.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783662485767
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v7627
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-662-48577-4
912 _aZDB-2-SCS
912 _aZDB-2-LNC
942 _cEBK
999 _c55691
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