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Introducing the fundamental concepts and algorithms of data mining Introduction to Data Mining 2nd Edition gives a comprehensive overview of the background and general themes of data mining and is designed to be useful to students instructors researchers and professionals Presented in a clear and accessible way the book outlines fundamental concepts and algorithms for each topic thus

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Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time Each concept is explored thoroughly and supported with numerous examples The text requires only a modest background in mathematics

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Avoiding False Discoveries A completely new addition in the second edition is a chapter on how to avoid false discoveries and produce valid results which is novel among other contemporary textbooks on data mining It supplements the discussions in the other chapters with a discussion of the statistical concepts statistical significance p values false discovery rate permutation testing

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Introduction to Data Mining Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time Each major topic is organized into two chapters beginning with basic concepts that provide necessary background for understanding each data mining technique followed by more advanced concepts and algorithms

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R Code Examples for Introduction to Data Mining This repository contains documented examples in R to accompany several chapters of the popular data mining text book PangNing Tan Michael Steinbach and Vipin Kumar Introduction to Data Mining Addison Wesley 2006 or 2017 edition

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Their combined citations are counted only for the first article PangNing Tan Professor of Computer Science Michigan State University Verified email at cse msu edu Data mining Introduction to data mining 8 487568 2006 280 2006 Mindsminnesota intrusion detection system

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Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time Each concept is explored thoroughly and supported with numerous examples The text requires only a modest background in mathematics Each major topic is organized into two chapters beginning with basic concepts that provide necessary background for understanding each

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