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Java Data Analysis

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

Product type Paperback

Published in Sep 2017

Publisher Packt

ISBN-13 9781787285651

Length 412 pages

Edition 1st Edition

Languages

Java

Tools

RapidMiner

Concepts

Big Data

Author (1):

John R. Hubbard

View More author details

Table of Contents (14) Chapters

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

NetBeans

NetBeans is the IDE that we have used throughout this book. As mentioned in Chapter 1, Introduction to Data Analysis, it is comparable to the other popular IDEs, such as Eclipse, JDeveloper, and JCreator, and it functions mostly the same way.

Download NetBeans from https://netbeans.org/downloads/. Select your language, your OS platform, and one of the Download buttons. Unless your machine is short of storage space, you might as well select the All (right most Download button) version. It includes the Java Enterprise Edition (Java EE) along with support for HTML5 and C++.

The installation is straightforward: just follow the directions. Note that NetBeans includes Java, so you do not have to install Java separately.

The main window for NetBeans is shown in Figure A-8:

NetBeans

Figure A-8. The NetBeans IDE

It shows five main panels: Projects, Files, Services, Output, and the editing window. The Projects, Files, and Services panels are combined in the sub-window on the left. This configuration can...

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Authors (1)

John R. Hubbard

John R. Hubbard

John R. Hubbard has been doing computer-based data analysis for over 40 years at colleges and universities in Pennsylvania and Virginia. He holds an MSc in computer science from Penn State University and a PhD in mathematics from the University of Michigan. He is currently a professor of mathematics and computer science, Emeritus, at the University of Richmond, where he has been teaching data structures, database systems, numerical analysis, and big data. Dr. Hubbard has published many books and research papers, including six other books on computing. Some of these books have been translated into German, French, Chinese, and five other languages. He is also an amateur timpanist.

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