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Data Mining for Business Analysis： Concepts Techniques and Application in R
Chapter 1 Introduction

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The next level of business analytics, now termed Business Intelligence (BI), refers to
data visualization and reporting for understanding “what happened and what is
happening
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2 What Is Data Mining? (Page 5)
Data mining refers to business analytics methods that go beyond counts, descriptive
techniques, reporting, and methods based on business rules
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3 Data Mining and Related Terms (Page 5-6)
Related terms refer to predictive analytics, predictive modeling, and machine learning
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In contrast, we use statistical models to refer to methods that apply
global structure to the data
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Volume refers to the amount of data
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Variety refers to the
different types of data being generated
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It is
therefore customary in data mining to apply several different methods and select the one
that appears most useful for the goal at hand
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7 Terminology and Notation (Page 9-11)
Refer to book Page 9-10
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8 Road Maps to This Book ( Page 11-14)

Data Mining for Business Analysis： Concepts Techniques and Application in R
Chapter 1 Introduction



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