[PDF.37tp] Data Mining: Concepts, Models, Methods, and Algorithms

Data Mining: Concepts, Models, Methods, and Algorithms

[PDF.oo00] Data Mining: Concepts, Models, Methods, and Algorithms

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 | #1075537 in Books |  2011-08-16 | Ingredients: Example Ingredients | Original language:English | PDF # 1 |  9.23 x1.34 x6.44l,2.00 | File type: PDF | 552 pages

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||2 of 2 people found the following review helpful.| Used this book for the Data mining class that is ...|By Christopher Del Fattore|Used this book for the Data mining class that is taught by the author at university of Louisville. I found it hard to learn for the book. There is very little examples for the formulas that are presented in each of the chapters.|18 of 18 people found the following review helpful.| ||“I therefore gladly salute the second editing of this lovely and valuable book. Researchers, students as well as industry professionals can find the reasons, means and practice to make use of essential data mining methodologies to help their interests.&

This book reviews state-of-the-art methodologies and techniques for analyzing enormous quantities of raw data in high-dimensional data spaces, to extract new information for decision making. The goal of this book is to provide a single introductory source, organized in a systematic way, in which we could direct the readers in analysis of large data sets, through the explanation of basic concepts, models and methodologies developed in recent decades.

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You easily download any file type for your device.Data Mining: Concepts, Models, Methods, and Algorithms   |  Mehmed Kantardzic.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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