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Java: Data Science Made Easy

You're reading from   Java: Data Science Made Easy Data collection, processing, analysis, and more

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Product type Course
Published in Jul 2017
Publisher Packt
ISBN-13 9781788475655
Length 734 pages
Edition 1st Edition
Languages
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Authors (3):
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Alexey Grigorev Alexey Grigorev
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Alexey Grigorev
Richard M. Reese Richard M. Reese
Author Profile Icon Richard M. Reese
Richard M. Reese
Jennifer L. Reese Jennifer L. Reese
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Jennifer L. Reese
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Toc

Table of Contents (29) Chapters Close

Title Page
Credits
Preface
1. Module 1 FREE CHAPTER
2. Getting Started with Data Science 3. Data Acquisition 4. Data Cleaning 5. Data Visualization 6. Statistical Data Analysis Techniques 7. Machine Learning 8. Neural Networks 9. Deep Learning 10. Text Analysis 11. Visual and Audio Analysis 12. Visual and Audio Analysis 13. Mathematical and Parallel Techniques for Data Analysis 14. Bringing It All Together 15. Module 2
16. Data Science Using Java 17. Data Processing Toolbox 18. Exploratory Data Analysis 19. Supervised Learning - Classification and Regression 20. Unsupervised Learning - Clustering and Dimensionality Reduction 21. Working with Text - Natural Language Processing and Information Retrieval 22. Extreme Gradient Boosting 23. Deep Learning with DeepLearning4J 24. Scaling Data Science 25. Deploying Data Science Models 26. Bibliography

Case study - page prediction


Now we will continue with our running example, the search engine. What we want to do here is to try to predict whether a URL comes from the first page of the search engine results or not. So, it is time to use the material we have covered so far in this chapter.

In Chapter 2,Data Processing Toolbox, we created the following object to store the information about pages:

public class RankedPage { 
    private String url; 
    private int position; 
    private int page; 
    private int titleLength; 
    private int bodyContentLength; 
    private boolean queryInTitle; 
    private int numberOfHeaders; 
    private int numberOfLinks; 
}

First, we can start by adding a few methods to this object, as follows:

  • isHttps: This should tell us if the URL is HTTPS and can be implemented with url.startsWith("https://")
  • isComDomain: This should tells us if the URL belongs to the COM domain and whether we can implement it with url.contains(".com")
  • isOrgDomain, isNetDomain: This...
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