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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

Understanding stream processing


The software applications that are deployed in the enterprise have two basic components:

  • The infrastructure
  • The applications

The infrastructure includes the physical hardware and the network that connects different systems together. The security implementation for infrastructure and applications have different considerations due to which the frameworks and processes for protecting the CI are also different. 

The security systems need to operate across the peripheries of the infrastructure and within the applications. There are various events through which the data (network and application) flows. The events take place at a point in time and the corresponding data is available for analysis and action immediately after the event occurs.

For example, a client application such as a web browser requests access to a website over the HTTP protocol. The sequence of events are initiated right after the URL is entered through the browser. The related analysis based on the...

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