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Book synopsis

Data mining can be defined as the process of selection, exploration and modelling of large databases, in order to discover models and patterns. The increasing availability of data in the current information 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 such knowledge from data. Applications occur in many different fields, including statistics, computer science, machine learning, economics, marketing and finance. This book is the first to describe applied data mining methods in a consistent statistical framework, and then show how they can be applied in practice. There is a real demand for such a book, as most of these available on the market are either too technical and computer science oriented or too applied and marketing driven.

Book details

Book category Books in English Computing & information technology Databases Data capture & analysis

• Full title: Applied Data Mining for Business and Industry
• Author: Paolo Giudici, Silvia Figini
• Language: English
• Binding: Hardback
• Number of pages: 258
• EAN: 9780470058862
• ISBN: 0470058862
• ID: 01387985
• Publisher: John Wiley & Sons Inc
• Weight: 522 g
• Dimensions: 228 × 159 × 20 mm
• Date of publishing: 17. April 2009

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