: Applied Data Mining for Business and Industry (): Paolo Giudici, Silvia Figini: Books. : Applied Data Mining: Statistical Methods for Business and Industry (Statistics in Practice) (): Paolo Giudici: Books. Applied Data Mining for Business and Industry. Second Edition. PAOLO GIUDICI. Department of Economics, University of Pavia, Italy. SILVIA FIGINI. Faculty of.
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Applied Data Mining for Business and Industry – Paolo Giudici, Silvia Figini – Google Books
Would you like to change to the site? Help Center Find new research papers in: Includes an extensive bibliography and pointers to furtherreading within the text. He is the author of around 80 publications, and the coordinator of 2 national research grants on data mining, and local coordinator of a European integrated project on the topic.
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Applied Data Mining: Statistical Methods for Business and Industry
Designations used by companies to distinguish their products are often claimed as trademarks. Applied Data Mining for Business and Industry, 2nd edition is aimed at advanced undergraduate and graduate students of paool mining, applied statistics, database management, computer science and economics. Dispatched from the UK in 3 business days When will my order arrive?
Review Text “If I had to recommend a good introduction to data mining, I would choose this one. Request an Evaluation Copy for this title. The case studies will provide guidance to professionals working in industry on projects involving large volumes of data, such as customer relationship management, web design, risk management, marketing, economics appliedd finance.
Applied Data Mining for Business and Industry
Data mining and applied statistical methodsare giudci appropriate tools to extract knowledge from such data. Visit our Beautiful Books page and find lovely books for kids, photography lovers and more. The publisher is not associated with any product or vendor mentioned in this book. Description Data mining can be defined as the process of selection, exploration and modelling of large databases, in order to discover models and patterns.
Applied Data Mining for Business and Industry. Introduces data mining methods and applications.
Includes many recent developments such as association andsequence rules, graphical Markov models, lifetime value modelling,credit risk, operational risk and web mining. Introduces data mining methods and applications.
Book ratings by Goodreads. Is accessible to anyone with a basic knowledge of statistics ordata analysis. Thisbook provides an accessible introduction to Added to Your Shopping Cart. Data mining and applied statistical methods are the appropriate tools to extract such knowledge from data. Description The increasing availability of data in our current, information overloaded society has led to the need for valid tools for its modelling and analysis.
Applied data mining: Statistical methods for business and industry | Paolo Giudici –
Organisation of the data. Evaluation of data mining methods. Features detailed case studies based on applied projects withinindustry. Includes many recent developments such as association applies sequence rules, graphical Markov models, lifetime value modelling, credit risk, operational risk and web mining.
Applied Data Mining for Business and Industry, 2ndedition is aimed at advanced undergraduate and graduatestudents of data mining, applied statistics, database management,computer science and economics.
Table of contents Reviews Features Preface. Statistical methods for business and industry. All the methods described are either computational, or of a statistical modelling nature.