Giudici, Paolo. <br/><br/>
Applied data mining for business and industry / 
Paolo Giudici, Silvia Figini. 
 - 2nd ed. 
 - Chichester, U.K. :  Wiley,  ©2009. 
 - 1 online resource (viii, 249 pages) :  illustrations 
<br/><br/>Includes bibliographical references (pages 237-241) and index. 
<br/><br/>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. 
<br/><br/> The 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. 
<br/><br/><label>ISBN: </label>9780470745830 0470745835 9780470745823 0470745827 
<br/><br/><label>Standard No.: </label>10.1002/9780470745830  doi 
<br/><br/><label>Source: </label>10.1002/9780470745830  Wiley InterScience  http://www3.interscience.wiley.com 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Data mining.<br/>Business--Data processing.<br/>Commercial statistics.<br/>Data mining.
<br/><br/><label>Index Terms--Genre/Form: </label><br/>Electronic books.
<br/><br/><label>LC Class. No.: </label>QA76.9.D343  / G75 2009 
<br/><br/><label>Dewey Class. No.: </label>005.74068