Whether you are brand new to data mining or working on your tenth predictive analytics project, Commercial Data Mining will be there for you as an accessible reference outlining the entire process and related themes. In this book, youll learn that your organization does not need a huge volume of data or a Fortune 500 budget to generate business using existing information assets. The author guides you through the process from beginning to end and covers everything from business objectives to data sources, and selection to analysis and predictive modeling.
%0 Book
%1 Nettleton14
%A Nettleton, David
%C Amsterdam
%D 2014
%I Morgan Kaufmann
%K 01624 103 book acm elsevier ai business data pattern recognition information analysis intro
%T Commercial Data Mining: Processing, Analysis and Modeling for Predictive Analytics Projects
%U http://www.sciencedirect.com/science/book/9780124166028
%X Whether you are brand new to data mining or working on your tenth predictive analytics project, Commercial Data Mining will be there for you as an accessible reference outlining the entire process and related themes. In this book, youll learn that your organization does not need a huge volume of data or a Fortune 500 budget to generate business using existing information assets. The author guides you through the process from beginning to end and covers everything from business objectives to data sources, and selection to analysis and predictive modeling.
%@ 978-0-12-416602-8
@book{Nettleton14,
abstract = {Whether you are brand new to data mining or working on your tenth predictive analytics project, Commercial Data Mining will be there for you as an accessible reference outlining the entire process and related themes. In this book, youll learn that your organization does not need a huge volume of data or a Fortune 500 budget to generate business using existing information assets. The author guides you through the process from beginning to end and covers everything from business objectives to data sources, and selection to analysis and predictive modeling.},
added-at = {2016-11-29T07:48:55.000+0100},
address = {Amsterdam},
author = {Nettleton, David},
biburl = {https://www.bibsonomy.org/bibtex/23ed02ede1cef33e92b37dcdabd148387/flint63},
file = {ACM Learning Center eBook:2014/Nettleton14.pdf:PDF;Amazon Search inside:http\://www.amazon.de/gp/reader/0124166024/:URL},
groups = {public},
interhash = {1154dfd91b5ca4e85510bf2cd1cb3231},
intrahash = {3ed02ede1cef33e92b37dcdabd148387},
isbn = {978-0-12-416602-8},
keywords = {01624 103 book acm elsevier ai business data pattern recognition information analysis intro},
publisher = {Morgan Kaufmann},
timestamp = {2017-07-13T17:08:25.000+0200},
title = {Commercial Data Mining: Processing, Analysis and Modeling for Predictive Analytics Projects},
url = {http://www.sciencedirect.com/science/book/9780124166028},
username = {flint63},
x-series = {Savvy Manager's Guides},
year = 2014
}