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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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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 FREE CHAPTER 2. Data Preprocessing 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

Summary

The first part of this chapter described some important historical events that have led to the development of data analysis: ancient commercial record keeping, royal compilations of land and property, and accurate mathematical models in astronomy, physics, and navigation. It was this activity that led Babbage to invent the computer. Data analysis was borne from necessity in the advance of civilization, from the identification of the source of cholera, to the management of economic data, and the modern processing of massive datasets.

This chapter also briefly explained our choice of the Java programming language for the implementation of the data analysis algorithms to be studied in this book. And finally, it introduced the NetBeans IDE, which we will also use throughout the book.

You have been reading a chapter from
Java Data Analysis
Published in: Sep 2017
Publisher: Packt
ISBN-13: 9781787285651
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