Book Image

Java Data Analysis

By : John R. Hubbard
Book Image

Java Data Analysis

By: John R. Hubbard

Overview of this book

Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the aim of discovering useful information. Java is one of the most popular languages to perform your data analysis tasks. This book will help you learn the tools and techniques in Java to conduct data analysis without any hassle. After getting a quick overview of what data science is and the steps involved in the process, you’ll learn the statistical data analysis techniques and implement them using the popular Java APIs and libraries. Through practical examples, you will also learn the machine learning concepts such as classification and regression. In the process, you’ll familiarize yourself with tools such as Rapidminer and WEKA and see how these Java-based tools can be used effectively for analysis. You will also learn how to analyze text and other types of multimedia. Learn to work with relational, NoSQL, and time-series data. This book will also show you how you can utilize different Java-based libraries to create insightful and easy to understand plots and graphs. By the end of this book, you will have a solid understanding of the various data analysis techniques, and how to implement them using Java.
Table of Contents (20 chapters)
Java Data Analysis
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
Index

Using random access files


Another alternative for storing the similarity matrix (and the utility matrix) is to use a RandomAccessFile object. This is illustrated in Listing 9.23:

Listing 9.23: Using a random access file

This little test program creates a random access file named inout at line 17. The constant W, defined at line 12, is the number of bytes (8) that Java uses to store a double value. We need that to locate our data in the file. The second argument to the constructor, the string rw, means that we will be both reading from and writing to the file. The loop at lines 18-20 writes 100 square roots into the file. The output from line 21 confirms that the file contains 800 bytes.

The loop at lines 23-27 uses direct access (random access) into the file, just like accessing a 100-element array. Each access requires two steps: seek the location to be read, and then read it. The seek() method sets the file's read-write pointer to the point in the file where access is to begin. Its argument...