000			01386nam a2200169Ia 4500
020			_a9812531785
082			_a658.802 GIU
100			_aGiudici, Paolo
245			_aApplied data mining : statistical methods for business and industry
260			_aEngland _bJohn Wiley _c2005
300			_axii, 364 p. _b21 cm ; Pbk
500			_aGratis
505			_a pt. 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.
650			_aData mining _aBusiness--Data processing _aCommercial statistics
942			_cBK
999			_c98543 _d98543