Learn Data Mining by doing data mining (0471666572)

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Data mining can be revolutionary-but only when it's done left. The powerful black box data mining software now available can produce disastrously misleading results unless applied by a skilled and knowledgeable analyst. Discovering Knowledge in Data: An Introduction to Data Mining provides both the practical experience and the theoretical insight needed to reveal valuable information hidden in large data sets.

Employing a "white box" methodology and with real-world case studies, this step-by-step guide walks readers through the various algorithms and statistical structures that underlie the software and presents examples of their operation on actual large data sets.

Principal topics include:

* Data preprocessing and classification

* Exploratory analysis

* Decision trees

* Neural and Kohonen networks

* Hierarchical and k-means clustering

* Association rules

* Model evaluation techniques

Complete with scores of screenshots and diagrams to encourage graphical learning, Discovering Knowledge in Data: An Introduction to Data Mining gives students in Business, Computer Science, and Statistics as well as professionals in the field the power to turn any data warehouse into actionable knowledge.

Reviews:

"...an excellent 'white-box' overview of established approaches for data analysis, in which readers are shown how, why, and when the methods work." (CHOICE, April 2005)

"Larose has the making of a good series of books on data miningâ€¦I, for one, look forward to the next two books in the series." (Computing Reviews.com, February 15, 2005)

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