Discovering Knowledge in Data is popular PDF and ePub book, written by Daniel T. Larose in 2005-01-28, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Discovering Knowledge in Data can be Read Online from any device for your convenience.

Discovering Knowledge in Data Book PDF Summary

Learn Data Mining by doing data mining Data mining can be revolutionary-but only when it's done right. 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. An Instructor's Manual presenting detailed solutions to all the problems in the book is available online.

Detail Book of Discovering Knowledge in Data PDF

Discovering Knowledge in Data
  • Author : Daniel T. Larose
  • Release : 28 January 2005
  • Publisher : John Wiley & Sons
  • ISBN : 9780471687535
  • Genre : Computers
  • Total Page : 240 pages
  • Language : English
  • PDF File Size : 19,7 Mb

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