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037 _a10.1002/9780470745830
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090 _aebook
100 1 _aGiudici, Paolo.
245 1 0 _aApplied data mining for business and industry /
_cPaolo Giudici, Silvia Figini.
250 _a2nd ed.
260 _aChichester, U.K. :
_bWiley,
_c©2009.
300 _a1 online resource (viii, 249 pages) :
_billustrations
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
504 _aIncludes bibliographical references (pages 237-241) and index.
505 0 _apt. 1. Methodology. Organisation of the data -- Summary statistics -- Model specification -- Model evaluation -- pt. 2. Business Case Studies. Describing website visitors -- Market basket analysis -- Describing customer satisfaction -- Predicting credit risk of small businesses -- Predicting e-learning student performance -- Predicting customer lifetime value -- Operational risk management.
520 _aThe increasing availability of data in our current, information-overloaded society has led to the need for valid tools for its modelling and analysis. Data mining and applied statistical methods are the appropriate tools to extract knowledge from such data. This book provides an accessible introduction to data mining methods in a consistent and application-oriented statistical framework, using case studies drawn from real industry projects and highlighting the use of data mining methods in a variety of business applications.
588 0 _aPrint version record.
650 0 _aData mining.
650 0 _aBusiness
_xData processing.
650 0 _aCommercial statistics.
650 4 _aData mining.
655 4 _aElectronic books.
700 1 _aFigini, Silvia.
710 2 _aWiley InterScience (Online service)
773 0 _tWiley e-books.
776 0 8 _iPrint version:
_aGiudici, Paolo.
_tApplied data mining for business and industry.
_b2nd ed.
_dChichester, U.K. : Wiley, ©2009
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_z0470058862
_w(DLC) 2009008334
_w(OCoLC)311075482
856 4 0 _uhttps://eresourcesptsl.ukm.remotexs.co/user/login?url=http://onlinelibrary.wiley.com/book/10.1002/9780470745830
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