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001 978-3-319-55723-6
003 DE-He213
005 20181204134420.0
007 cr nn 008mamaa
008 170704s2017 gw | s |||| 0|eng d
020 _a9783319557236
_9978-3-319-55723-6
024 7 _a10.1007/978-3-319-55723-6
_2doi
040 _aISI Library, Kolkata
050 4 _aQA276-280
072 7 _aPBT
_2bicssc
072 7 _aMAT029000
_2bisacsh
072 7 _aPBT
_2thema
082 0 4 _a519.5
_223
245 1 0 _aData Science
_h[electronic resource] :
_bInnovative Developments in Data Analysis and Clustering /
_cedited by Francesco Palumbo, Angela Montanari, Maurizio Vichi.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aXVI, 342 p. 50 illus., 39 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 _aStudies in Classification, Data Analysis, and Knowledge Organization,
_x1431-8814
505 0 _aPreface -- Part I: Classification Methods for High-Dimensional Data -- Scientific Contributions -- Part II: Clustering Methods and Applications -- Scientific Contributions -- Part III: Multivariate Methods and Applications -- Scientific Contributions.
520 _aThis edited volume on the latest advances in data science covers a wide range of topics in the context of data analysis and classification. In particular, it includes contributions on classification methods for high-dimensional data, clustering methods, multivariate statistical methods, and various applications. The book gathers a selection of peer-reviewed contributions presented at the Fifteenth Conference of the International Federation of Classification Societies (IFCS2015), which was hosted by the Alma Mater Studiorum, University of Bologna, from July 5 to 8, 2015.
650 0 _aMathematical statistics.
650 0 _aData mining.
650 0 _aBig data.
650 0 _aStatistics.
650 1 4 _aStatistical Theory and Methods.
_0http://scigraph.springernature.com/things/product-market-codes/S11001
650 2 4 _aData Mining and Knowledge Discovery.
_0http://scigraph.springernature.com/things/product-market-codes/I18030
650 2 4 _aStatistics and Computing/Statistics Programs.
_0http://scigraph.springernature.com/things/product-market-codes/S12008
650 2 4 _aBig Data.
_0http://scigraph.springernature.com/things/product-market-codes/I29120
650 2 4 _aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
_0http://scigraph.springernature.com/things/product-market-codes/S17020
650 2 4 _aStatistics for Business/Economics/Mathematical Finance/Insurance.
_0http://scigraph.springernature.com/things/product-market-codes/S17010
700 1 _aPalumbo, Francesco.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMontanari, Angela.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aVichi, Maurizio.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319557229
776 0 8 _iPrinted edition:
_z9783319557243
830 0 _aStudies in Classification, Data Analysis, and Knowledge Organization,
_x1431-8814
856 4 0 _uhttps://doi.org/10.1007/978-3-319-55723-6
912 _aZDB-2-SMA
942 _cEB
950 _aMathematics and Statistics (Springer-11649)
999 _c427181
_d427181