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Predictive Data Mining - A Practical Guide

by Sholom M. Weiss, Nitin Indurkhya
Predictive Data Mining - A Practical Guide - Thryft
Predictive Data Mining - A Practical Guide - Thryft

Demystifying data mining for practical application

This book could be a good read for users who want to learn how to develop and apply data-mining techniques in real-world scenarios. It provides a comprehensive roadmap and valuable insights for conducting large-scale data analyses. By demystifying the process, the book makes it accessible and practical for readers to unlock the hidden patterns and gain meaningful insights from their data. So, if you're ready to dive into the world of data mining and extract valuable knowledge from your data warehouse, this book is a must-read.

Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.

Predictive Data Mining - A Practical Guide

by Sholom M. Weiss, Nitin Indurkhya
Condition guide

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ISBN: 9781558604032
Authors: Sholom M. Weiss, Nitin Indurkhya
Publisher: Morgan Kaufmann
Date of Publication: 1997-08-15
Format: Paperback
Related Collections: Business, Science
Related Topics: Technology, Management, Computers, Mathematics, Data Science
Goodreads rating: 4.33
(rated by 6 readers)

Description

The potential business advantages of data mining are well documented in publications for executives and managers. However, developers implementing major data-mining systems need concrete information about the underlying technical principles―and their practical manifestations―in order to either integrate commercially available tools or write data-mining programs from scratch. This book is the first technical guide to provide a complete, generalized roadmap for developing data-mining applications, together with advice on performing these large-scale, open-ended analyses for real-world data warehouses. If you already own Predictive Data A Practical Guide, please see ISBN 1-55860-477-4 to order the accompanying software. To order the book/software package, please see ISBN 1-55860-478-2.+ Focuses on the preparation and organization of data and the development of an overall strategy for data mining.+ Reviews sophisticated prediction methods that search for patterns in big data.+ Describes how to accurately estimate future performance of proposed solutions.+ Illustrates the data-mining process and its potential pitfalls through real-life case studies.
 

Demystifying data mining for practical application

This book could be a good read for users who want to learn how to develop and apply data-mining techniques in real-world scenarios. It provides a comprehensive roadmap and valuable insights for conducting large-scale data analyses. By demystifying the process, the book makes it accessible and practical for readers to unlock the hidden patterns and gain meaningful insights from their data. So, if you're ready to dive into the world of data mining and extract valuable knowledge from your data warehouse, this book is a must-read.

Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.