Applied data mining : statistical methods for business and industry

By:

Giudici, Paolo

Material type: Text

TextPublication details: England John Wiley 2005Description: xii, 364 p. 21 cm ; PbkISBN:

9812531785

Subject(s):

Data mining Business--Data processing Commercial statistics

DDC classification:

658.802 GIU

Contents:

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.

Summary: 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.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	H.T. Parekh Library	GSB Collection	658.802 GIU (Browse shelf(Opens below))	Available		40174

Gratis

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.

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.

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