Search Results

Applied Data Mining for Business and Industry

Download or Read eBook Applied Data Mining for Business and Industry PDF written by Paolo Giudici and published by John Wiley & Sons. This book was released on 2009-04-15 with total page 258 pages. Available in PDF, EPUB and Kindle.
Applied Data Mining for Business and Industry
Author :
Publisher : John Wiley & Sons
Total Pages : 258
Release :
ISBN-10 : 9780470745823
ISBN-13 : 0470745827
Rating : 4/5 (23 Downloads)

Book Synopsis Applied Data Mining for Business and Industry by : Paolo Giudici

Book excerpt: 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.


Applied Data Mining for Business and Industry Related Books

Applied Data Mining for Business and Industry
Language: en
Pages: 258
Authors: Paolo Giudici
Categories: Mathematics
Type: BOOK - Published: 2009-04-15 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

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 mini
Applied Data Mining
Language: en
Pages: 379
Authors: Paolo Giudici
Categories: Computers
Type: BOOK - Published: 2005-09-27 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Data mining can be defined as the process of selection, explorationand modelling of large databases, in order to discover models andpatterns. The increasing ava
Customer and Business Analytics
Language: en
Pages: 314
Authors: Daniel S. Putler
Categories: Business & Economics
Type: BOOK - Published: 2012-05-07 - Publisher: CRC Press

DOWNLOAD EBOOK

Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software,
A Practical Guide to Data Mining for Business and Industry
Language: en
Pages: 323
Authors: Andrea Ahlemeyer-Stubbe
Categories: Mathematics
Type: BOOK - Published: 2014-03-31 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI. Practical Data Mining f
Data Mining for Business Analytics
Language: en
Pages: 608
Authors: Galit Shmueli
Categories: Mathematics
Type: BOOK - Published: 2019-10-14 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Pyt
Scroll to top