The second edition of Data Mining for the Masses is now available! The new edition includes two additional modeling techniques (k-Nearest Neighbors and Naive Bayes), along with implementations of all chapter examples in the R statistical language.
Have you ever found yourself working with a spreadsheet full of data and wishing you could make more sense of the numbers? Have you reviewed sales or operations reports, wondering if thereâs a better way to anticipate your customersâ needs? Perhaps youâve even thought to yourself: Thereâs got to be more to these figures than what Iâm seeing!
Data Mining can help, and you donât need a Ph.D. in Computer Science to do it. You can forecast staffing levels, predict demand for inventory, even sift through millions of lines of customer emails looking for common themesâall using data mining. Itâs easier than you might think.
In Data Mining for the Masses, professor Matt Northâa former risk analyst and database developer for eBay.comâuses simple examples, clear explanations and free, powerful, easy-to-use software to teach you the basics of data mining; techniques that can help you answer some of your toughest business questions.
Youâve got data and you know itâs got value, if only you can figure out how to unlock it. This book can show you how. Letâs start digging!
Through an agreement with the Global Text Project, an electronic version of this text is available online at (http://globaltext.terry.uga.edu/books). Proceeds from the sales of printed copies through Amazon enable the author to support the Global Text Project's goal of making electronic texts available to students in developing economies.
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