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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

Product type Paperback

Published in Mar 2017

Publisher Packt

ISBN-13 9781787122536

Length 372 pages

Edition 1st Edition

Languages

Java

Tools

Weka

Concepts

Data Analysis

Author (1):

Rushdi Shams

View More author details

Table of Contents (16) Chapters

Java Data Science Cookbook

Credits

About the Author

About the Reviewer

www.PacktPub.com

Customer Feedback

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

Classifying data points using Massive Online Analysis (MOA)

Massive Online Analysis or MOA is related to Weka, but it comes with more scalability. It is a notable Java workbench for data stream mining. With a strong community in place, MOA has implementations of classification, clustering, regression, concept drift identification, and recommender systems. Among other key advantages of MOA are its capability of being extended by the developers and its capacity of having bi-directional interactions with Weka.

Getting ready

In order to perform this recipe, we would require the following:

MOA can be downloaded from https://sourceforge.net/projects/moa-datastream/, which eventually is accessible from the MOA getting started webpage at http://moa.cms.waikato.ac.nz/getting-started/:

This will download a zip file named moa-release-2016.04.zip to your system. Save it anywhere you like.
Once downloaded, extract the files. You will see files and folders as follows:
You will need to put the moa.jar file...

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Authors (1)

Shams

Shams

Rushdi Shams has a Ph.D. on Application of machine learning in Natural Language Processing (NLP) problem areas from Western University, Canada. Before starting work as a machine learning and NLP specialist in the industry, he was engaged in teaching undergrad and grad courses. He has been successfully maintaining his YouTube channel named "Learn with Rushdi" for learning computer technologies.

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