Book Image

Java for Data Science

By : Richard M. Reese, Jennifer L. Reese
Book Image

Java for Data Science

By: Richard M. Reese, Jennifer L. Reese

Overview of this book

para 1: Get the lowdown on Java and explore big data analytics with Java for Data Science. Packed with examples and data science principles, this book uncovers the techniques & Java tools supporting data science and machine learning. Para 2: The stability and power of Java combines with key data science concepts for effective exploration of data. By working with Java APIs and techniques, this data science book allows you to build applications and use analysis techniques centred on machine learning. Para 3: Java for Data Science gives you the understanding you need to examine the techniques and Java tools supporting big data analytics. These Java-based approaches allow you to tackle data mining and statistical analysis in detail. Deep learning and Java data mining are also featured, so you can explore and analyse data effectively, and build intelligent applications using machine learning. para 4: What?s Inside ? Understand data science principles with Java support ? Discover machine learning and deep learning essentials ? Explore data science problems with Java-based solutions
Table of Contents (19 chapters)
Java for Data Science
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface

Understanding the application's architecture


Every application has its own unique structure, or architecture. This architecture provides the overarching organization or framework for the application. For this application, we combine the three classes using a Java 8 stream in the ApplicationDriver class. This class consists of three methods:

  • ApplicationDriver: Contains the applications' user input

  • performAnalysis: Performs the analysis

  • main: Creates the ApplicationDriver instance

The class structure is shown next. The three instance variables are used to control the processing:

public class ApplicationDriver { 
    private String topic; 
    private String subTopic; 
    private int numberOfTweets; 
 
    public ApplicationDriver() { ... } 
    public void performAnalysis() { ...     } 
 
    public static void main(String[] args) { 
        new ApplicationDriver(); 
    } 
} 

The ApplicationDriver constructor follows. A Scanner instance...