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020 _a9783642232404
035 _a(WaSeSS)ssj0000609485
037 _a364223240X
_b00024965
040 _aBIP US
_dWaSeSS
050 4 _aQA76.9.D343
082 0 0 _a006.312
_223
_bHOL-D
100 _aHolmes,Dawn E.
210 1 0 _aData mining : foundations and intelligent paradigms
245 0 0 _aData mining :
_bfoundations and intelligent paradigms : statistical, bayesian, time series and other theoretical aspects, vol II
260 _aNew York :
_bSpringer,
_c©2011
300 _a250 p.
440 0 _aIntelligent Systems Reference Library
506 _aLicense restrictions may limit access.
520 8 _aAnnotation
_bThere are many invaluable books available on data mining theory and applications. However, in compiling a volume titled DATA MINING: Foundations and Intelligent Paradigms: Volume 2: Core Topics including Statistical, Time-Series and Bayesian Analysis we wish to introduce some of the latest developments to a broad audience of both specialists and non-specialists in this field.
521 _aScholarly & Professional
_bSpringer
700 1 _aJain,Lakhmi C.
773 0 _tSpringerLink ebooks - Engineering (2012)
910 _aBowker Global Books in Print record
942 _2ddc
_cBK
999 _c7295
_d7295