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Data mining with WEKA, Part 2: Classification and clustering
Data mining is a collective term for dozens of techniques to glean information from data and turn it into meaningful trends and rules to improve your understanding of the data. In this second article of the series, we'll discuss two common data mining methods -- classification and clustering -- which can be used to do more powerful analysis on your data.
Also available in: Russian   Portuguese  
Articles 11 May 2010
Data mining with WEKA, Part 3: Nearest Neighbor and server-side library
Data mining can be used to turn seemingly meaningless data into useful information, with rules, trends, and inferences that can be used to improve your business and revenue. This article will go over the last common data mining technique, "Nearest Neighbor," and will show you how to use the WEKA Java library in your server-side code to integrate data mining technology into your Web applications.
Also available in: Russian  
Articles 08 Jun 2010
Data mining with WEKA, Part 1: Introduction and regression
Data mining is the talk of the tech industry, as companies are generating millions of data points about their users and looking for a way to turn that information into increased revenue. Data mining is a collective term for dozens of techniques to glean information from data and turn it into something meaningful. This article will introduce you to open source data-mining software and some of the most common techniques to interpret data.
Also available in: Russian   Portuguese  
Articles 27 Apr 2010
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