Silvia Figini's Books

Applied Data Mining for Business and Industry

By: Paolo Giudici,Silvia Figini

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Applied Data Mining for Business and Industry

By: Paolo Giudici,Silvia Figini

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. Introduces data mining methods and applications. Covers classical and Bayesian multivariate statistical methodology as well as machine learning and computational data mining methods. Includes many recent developments such as association and sequence rules, graphical Markov models, lifetime value modelling, credit risk, operational risk and web mining. Features detailed case studies based on applied projects within industry. Incorporates discussion of data mining software, with case studies analysed using R. Is accessible to anyone with a basic knowledge of statistics or data analysis. Includes an extensive bibliography and pointers to further reading within the text. Applied Data Mining for Business and Industry, 2nd edition is aimed at advanced undergraduate and graduate students of data mining, applied statistics, database management, computer science and economics. 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 and finance.

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Page Count

258

Publisher

John Wiley & Sons

Published Date

ISBN 10

0470745827

ISBN 13

9780470745823

Modern Analysis of Customer Surveys

with Applications using R

By: Ron S. Kenett,Silvia Salini

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Modern Analysis of Customer Surveys

with Applications using R

By: Ron S. Kenett,Silvia Salini

Customer survey studies deals with customers, consumers and user satisfaction from a product or service. In practice, many of the customer surveys conducted by business and industry are analyzed in a very simple way, without using models or statistical methods. Typical reports include descriptive statistics and basic graphical displays. As demonstrated in this book, integrating such basic analysis with more advanced tools, provides insights on non-obvious patterns and important relationships between the survey variables. This knowledge can significantly affect the conclusions derived from a survey. Key features: Provides an integrated, case-studies based approach to analysing customer survey data. Presents a general introduction to customer surveys, within an organization’s business cycle. Contains classical techniques with modern and non standard tools. Focuses on probabilistic techniques from the area of statistics/data analysis and covers all major recent developments. Accompanied by a supporting website containing datasets and R scripts. Customer survey specialists, quality managers and market researchers will benefit from this book as well as specialists in marketing, data mining and business intelligence fields.

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Page Count

533

Publisher

John Wiley & Sons

Published Date

ISBN 10

0470971282

ISBN 13

9780470971284

Applied Data Mining for Business and Industry

By: Paolo Giudici,Silvia Figini

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Applied Data Mining for Business and Industry

By: Paolo Giudici,Silvia Figini

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N/A

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Solve jigsaw puzzle

Age

Page Count

277

Publisher

John Wiley & Sons

Published Date

ISBN 10

0470058862

ISBN 13

9780470058862

Book's by Silvia Figini

Applied Data Mining for Business and Industry

Applied Data Mining for Business and Industry

Modern Analysis of Customer Surveys

Modern Analysis of Customer Surveys

Applied Data Mining for Business and Industry

Applied Data Mining for Business and Industry

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