Last edited by Gotaur
Sunday, July 19, 2020 | History

5 edition of Applied Data Mining for Business and Industry found in the catalog.

Applied Data Mining for Business and Industry

Paolo Giudici

Applied Data Mining for Business and Industry

by Paolo Giudici

  • 139 Want to read
  • 36 Currently reading

Published by John Wiley & Sons .
Written in English

    Subjects:
  • Business & Management,
  • Data capture & analysis,
  • Mathematics,
  • Science/Mathematics,
  • Mathematics / Statistics,
  • Probability & Statistics - General,
  • Business,
  • Data mining,
  • Data processing,
  • Statistical methods

  • The Physical Object
    FormatPaperback
    Number of Pages416
    ID Numbers
    Open LibraryOL10278797M
    ISBN 100470058870
    ISBN 109780470058879

      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. The second half of the book consists of nine case studies, taken from the author's own work in industry, that demonstrate how the methods described can be applied to real problems. Provides a solid introduction to applied data mining methods in a consistent statistical frameworkBook Edition: 1.

    Applied Data Mining: Statistical Methods for Business and Industry (Statistics in Practice) by Giudici, Paolo and a great selection of related books, art and collectibles available now at Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner, Third Editionpresents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies. Readers will work with all of the standard data mining methods using the Microsoft Office Excel add-in XLMiner to develop predictive models and learn how .

    to Data Mining for Business and Industry A Practical Guide to Data Mining Aims of the Book 3 Data Mining Context 5 Domain Knowledge 6 Words to Remember 7 Associated Concepts 7 Global Appeal 8 Example Datasets Used in This Book 8.   Data mining is looking for hidden, valid, and potentially useful patterns in huge data sets. Data Mining is all about discovering unsuspected/ previously unknown relationships amongst the data. It is a multi-disciplinary skill that uses machine learning, statistics, AI and database technology. The insights derived via Data Mining can be used.


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Applied Data Mining for Business and Industry by Paolo Giudici Download PDF EPUB FB2

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 by:   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.

Applied Data Mining: Statistical Methods for Business and Industry provides an accessible introduction to data mining methods in a consistent and application-oriented statistical framework. It describes six case studies, taken from real industry projects, highlighting the current applications of data mining by: 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. 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/5(7).

A Practical Guide to Data Mining for Business and Industry presents a user friendly approach to data mining methods and provides a solid foundation for their application. The methodology presented is complemented by case studies to create a versatile reference book, allowing readers to look for specific methods as well as for specific by: 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. Practical Data Mining for Business presents a user-friendly approach to data mining methods, covering the typical uses to which it is applied. The methodology is complemented by case studies to create a versatile reference book, allowing readers to look for specific methods as well as for specific applications.

12 APPLIED DATA MINING FOR BUSINESS AND INDUSTRY. one of the most important data mining phases. We see data mining as a process consisting of design, collection and data analysis. The main objectives of the data mining process are to provide companies with useful/new knowledge in the sphere of business intelligence.

Permissions Request permission to reuse content from this site. 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.

Applied data mining: Statistical methods for business and industry | Paolo Giudici – Log In Sign Up. Book Author(s): Paolo Giudici.

Department of Economics, University of Pavia, Italy Djoni Haryadi Setiabudi and Ricky Djunaidy Data Mining Applications for Sales Information System Using Market Basket Analysis on Stationery Company /ICSIIT Applied Data Mining for Business and Industry, Second Edition.

Related; Information. Applied Data Mining for Business and Industry, permission to reuse the copyri ght material in this book please see our the Apriori algorithm is applied in order to understand the kinds of Author: Paolo Giudici. Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro presents an applied and interactive approach to data mining.

Featuring hands-on applications with JMP Pro, a statistical package from the SAS Institute, the bookuses engaging, real-world examples to build a theoretical and practical understanding of key data mining methods, especially predictive models for. 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. Applied Data Mining: Statistical Methods for Business and Industry.

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/5(6).

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 : Paolo Giudici. Data Science for Business is an ideal book for introducing someone to Data Science.

The authors have tried to break down their knowledge into simple explanations. I am skeptical of non-technical Data Science books, but this one works well. In the beginning we are shown the motivations for Data Science and what fields they apply by: Business Intelligence and Data Mining is a conversational and informative book in the exploding area of Business Analytics.

Using this book, one can easily gain the intuition about the area, along with a solid toolset of major data mining techniques and platforms. This book can thus be gainfully used as a textbook for a college course.

I purchased the first edition of this book. I liked it very much. One of the main reasons is that it contained in the second part of the book a collection of applied cases which I could use in a course on DAta Mining I teach in an MBA program/5(4).

Find many great new & used options and get the best deals for Applied Data Mining for Business and Industry by Silvia Figini and Paolo Giudici (, Paperback) at the best online prices at eBay. Free shipping for many products!. E-BOOK EXCERPT. Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and methods, using R software for illustration Readers will learn how to implement a variety of popular data mining algorithms in R (a free and open-source software) to tackle business problems and opportunities.

Applied Data Mining: Statistical Methods for Business and Industry provides an accessible introduction to data mining methods in a consistent and application-oriented statistical framework. It describes six case studies, taken from real industry projects, highlighting the current applications of 5/5(2).Practical Data Mining for Business presents a user-friendly approach to data mining methods, covering the typical uses to which it is applied.

The methodology is complemented by case studies to create a versatile reference book, allowing readers to look for specific methods as well as for specific applications.