Applied data mining for business and industry / Paolo Giudici, Silvia Figini.
Publication details: Chichester, U.K. : Wiley, ©2009.Edition: 2nd edDescription: 1 online resource (viii, 249 pages) : illustrationsContent type:- text
- computer
- online resource
- 9780470745830
- 0470745835
- 9780470745823
- 0470745827
- 005.74068 22
- QA76.9.D343 G75 2009
| Item type | Current library | Home library | Collection | Call number | Materials specified | Copy number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|---|---|---|
| AM | PERPUSTAKAAN TUN SERI LANANG | PERPUSTAKAAN TUN SERI LANANG KOLEKSI AM-P. TUN SERI LANANG (ARAS 5) | - | ebook (Browse shelf(Opens below)) | 1 | Available |
Includes bibliographical references (pages 237-241) and index.
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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