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Java Data Analysis

You're reading from   Java Data Analysis Data mining, big data analysis, NoSQL, and data visualization

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Product type Paperback
Published in Sep 2017
Publisher Packt
ISBN-13 9781787285651
Length 412 pages
Edition 1st Edition
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Concepts
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Author (1):
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John R. Hubbard John R. Hubbard
Author Profile Icon John R. Hubbard
John R. Hubbard
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Table of Contents (14) Chapters Close

Preface 1. Introduction to Data Analysis 2. Data Preprocessing FREE CHAPTER 3. Data Visualization 4. Statistics 5. Relational Databases 6. Regression Analysis 7. Classification Analysis 8. Cluster Analysis 9. Recommender Systems 10. NoSQL Databases 11. Big Data Analysis with Java A. Java Tools Index

Chapter 6. Regression Analysis

One of the fundamental purposes of data analysis is the extrapolation of data. That is, the process of discovering patterns in the data and then projecting those patterns to anticipate unobserved or even future behavior. When a dataset appears to follow a pattern that looks like a mathematical function, then the algorithms used to identify that function or class of functions are characterized as regression analysis. In the simplest cases, when those functions are linear functions, the analysis is called linear regression.

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