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

ISBN: 9780120884070

页数: 560

语言: English

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share_ebook Data Mining Practical Machine Learning Tools and Techniques ReUpload

As with any burgeoning engineering that enjoys commercial focus, the use of info mining is surrounded by a fantastic deal of buzz. Exaggerated reviews notify of secrets and techniques that can be uncovered by setting algorithms loose on oceans of info. But there is no magic in device finding out, no concealed power, no alchemy. Instead there is an identifiable body of sensible methods that can extract helpful details from raw info. This book describes these strategies and reveals how they perform. The e-book is a significant revision of the initial version that appeared in 1999. Whilst the basic core remains the same, it has been up to date to mirror the alterations that have taken place in excess of 5 many years, and now has virtually double the references. The highlights for the new version contain thirty new approach sections an enhanced Weka device finding out workbench, which now capabilities an interactive interface extensive data on neural networks a new segment on Bayesian networks plus considerably far more. * Algorithmic approaches at the coronary heart of successful data mining-like used and accurate strategies as well as major edge techniques * Efficiency improvement techniques that work by transforming the input or output * Downloadable Weka, a collection of device studying algorithms for information mining duties, including tools for data pre-processing, classification, regression, clustering, association principles, and visualization-in a new, interactive interface

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