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


作者: Ian H. Witten, Eibe Frank

日期: 2005-06-22

ISBN: 9780120884070

页数: 560

语言: English



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share_ebook Data Mining Practical Machine Learning Tools and Techniques

As with any burgeoning technologies that enjoys commercial consideration, the use of information mining is surrounded by a wonderful deal of buzz. Exaggerated reports notify of tricks that can be uncovered by setting algorithms loose on oceans of knowledge. But there is no magic in machine finding out, no concealed power, no alchemy. As a substitute there is an identifiable human body of useful techniques that can extract valuable data from raw data. This book describes these tactics and displays how they function. The book is a major revision of the initial version that appeared in 1999. Although the simple core stays the very same, it has been updated to mirror the changes that have taken location over 5 a long time, and now has practically double the references. The highlights for the new version incorporate thirty new strategy sections an improved Weka machine understanding workbench, which now attributes an interactive interface complete information on neural networks a new part on Bayesian networks in addition much far more. * Algorithmic techniques at the coronary heart of productive knowledge mining-including attempted and correct tactics as nicely as major edge techniques * Performance enhancement tactics that work by transforming the input or output * Downloadable Weka, a collection of device learning algorithms for info mining jobs, such as equipment for knowledge pre-processing, classification, regression, clustering, association principles, and visualization-in a new, interactive interface

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