A Practical Guide to Data Mining for Business and Industry

This book PDF is perfect for those who love Mathematics genre, written by Andrea Ahlemeyer-Stubbe and published by John Wiley & Sons which was released on 12 May 2014 with total hardcover pages 323. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related A Practical Guide to Data Mining for Business and Industry books below.

A Practical Guide to Data Mining for Business and Industry
A Practical Guide to Data Mining for Business and Industry
Author : Andrea Ahlemeyer-Stubbe
File Size : 51,5 Mb
Publisher : John Wiley & Sons
Language : English
Release Date : 12 May 2014
ISBN : 9781119977131
Pages : 323 pages
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A Practical Guide to Data Mining for Business and Industry by Andrea Ahlemeyer-Stubbe Book PDF Summary

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 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. The book is formatted to allow statisticians, computer scientists, and economists to cross-reference from a particular application or method to sectors of interest.

A Practical Guide to Data Mining for Business and Industry

A Practical Guide to Data Mining for Business and Industry by Andrea Ahlemeyer-Stubbe,Shirley Coleman

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 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

Get Book
A Practical Guide to Data Mining for Business and Industry

A Practical Guide to Data Mining for Business and Industry by Andrea Ahlemeyer-Stubbe,Shirley Coleman

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 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

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