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Java Data Science Cookbook

You're reading from   Java Data Science Cookbook Explore the power of MLlib, DL4j, Weka, and more

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781787122536
Length 372 pages
Edition 1st Edition
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Author (1):
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Rushdi Shams Rushdi Shams
Author Profile Icon Rushdi Shams
Rushdi Shams
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Toc

Table of Contents (10) Chapters Close

Preface 1. Obtaining and Cleaning Data FREE CHAPTER 2. Indexing and Searching Data 3. Analyzing Data Statistically 4. Learning from Data - Part 1 5. Learning from Data - Part 2 6. Retrieving Information from Text Data 7. Handling Big Data 8. Learn Deeply from Data 9. Visualizing Data

Chapter 1. Obtaining and Cleaning Data

In this chapter, we will cover the following recipes:

  • Retrieving all file names from hierarchical directories using Java
  • Retrieving all file names from hierarchical directories using Apache Commons IO
  • Reading contents from text files all at once using Java 8
  • Reading contents from text files all at once using Apache Commons IO
  • Extracting PDF text using Apache Tika
  • Cleaning ASCII text files using Regular Expressions
  • Parsing Comma Separated Value files using Univocity
  • Parsing Tab Separated Value files using Univocity
  • Parsing XML files using JDOM
  • Writing JSON files using JSON.simple
  • Reading JSON files using JSON.simple
  • Extracting web data from a URL using JSoup
  • Extracting web data from a website using Selenium Webdriver
  • Reading table data from MySQL database
You have been reading a chapter from
Java Data Science Cookbook
Published in: Mar 2017
Publisher: Packt
ISBN-13: 9781787122536
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