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Artificial Intelligence for Big Data

You're reading from   Artificial Intelligence for Big Data Complete guide to automating Big Data solutions using Artificial Intelligence techniques

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788472173
Length 384 pages
Edition 1st Edition
Languages
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Authors (2):
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Anand Deshpande Anand Deshpande
Author Profile Icon Anand Deshpande
Anand Deshpande
Manish Kumar Manish Kumar
Author Profile Icon Manish Kumar
Manish Kumar
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Toc

Table of Contents (14) Chapters Close

Preface 1. Big Data and Artificial Intelligence Systems FREE CHAPTER 2. Ontology for Big Data 3. Learning from Big Data 4. Neural Network for Big Data 5. Deep Big Data Analytics 6. Natural Language Processing 7. Fuzzy Systems 8. Genetic Programming 9. Swarm Intelligence 10. Reinforcement Learning 11. Cyber Security 12. Cognitive Computing 13. Other Books You May Enjoy

Genetic Programming

Big Data mining tools need to be empowered by computationally efficient techniques to increase their degree of efficiency. Using genetic algorithms over data mining creates great robust, computationally efficient, and adaptive systems. In fact, with an exponential explosion of data, data analytics techniques go on taking more time and inversely affect the throughput. Also, due to their static nature, complex hidden patterns are often left out. In this chapter, we want to show how to use genes to mine data with great efficiency. To achieve this objective, we are going to explore some of the basics of genetic programming and the fundamental algorithms. We are going to begin with some of the very basic principles of natural (biological) genetics and draw some parallels when it comes to applying the general theory to computer algorithms. We will cover the...

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