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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

Introduction

In this chapter, you will learn two very important recipes. The first recipe demonstrates how you can index your data, and the second recipe, which is very closely connected to the first recipe, demonstrates how you can search through your indexed data.

For both indexing and searching, we will be using Apache Lucene. Apache Lucene is a free, opensource Java software library used heavily for information retrieval. It is supported by the Apache Software Foundation and is released under the Apache Software License.

Many different modern search platforms, such as Apache Solr and ElasticSearch, or crawling platforms, such as Apache Nutch, use Apache Lucene in the backend for data indexing and searching. Therefore, any data scientist who learns those search platforms will benefit from the two basic recipes in this chapter.

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