[share_ebook] Data Mining: Practical Machine Learning Tools and Techniques {reup}

ISBN: 9780120884070

Pages: 560

Language: English

Format: pdf

Category: Technical


Posted on 2012-01-09, by ecabuk.

Description



As with any burgeoning technological innovation that enjoys industrial focus, the use of info mining is surrounded by a excellent deal of buzz. Exaggerated studies inform of secrets that can be uncovered by setting algorithms loose on oceans of knowledge. But there is no magic in device learning, no concealed electricity, no alchemy. Rather there is an identifiable physique of sensible methods that can extract helpful information from uncooked data. This e-book describes these tactics and reveals how they function. The ebook is a main revision of the 1st version that appeared in 1999. Although the basic core remains the very same, it has been current to reflect the modifications that have taken place over five a long time, and now has practically double the references. The highlights for the new version include thirty new approach sections an enhanced Weka device understanding workbench, which now capabilities an interactive interface complete information on neural networks a new part on Bayesian networks in addition much far more. * Algorithmic techniques at the heart of profitable data mining-such as experimented with and true tactics as effectively as top edge strategies * Functionality enhancement techniques that function by transforming the input or output * Downloadable Weka, a assortment of machine learning algorithms for knowledge mining tasks, including instruments for information pre-processing, classification, regression, clustering, association principles, and visualization-in a new, interactive interface

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