Intelligent Techniques for Data Analysis in Diverse Settings is popular PDF and ePub book, written by Celebi, Numan in 2016-04-20, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Intelligent Techniques for Data Analysis in Diverse Settings can be Read Online from any device for your convenience.

Intelligent Techniques for Data Analysis in Diverse Settings Book PDF Summary

Data analysis forms the basis of many forms of research ranging from the scientific to the governmental. With the advent of machine intelligence and neural networks, extracting, modeling, and approaching data has been unimpeachably altered. These changes, seemingly small, affect the way societies organize themselves, deliver services, or interact with each other. Intelligent Techniques for Data Analysis in Diverse Settings addresses the specialized requirements of data analysis in a comprehensive way. This title contains a comprehensive overview of the most innovative recent approaches borne from intelligent techniques such as neural networks, rough sets, fuzzy sets, and metaheuristics. Combining new data analysis technologies, applications, emerging trends, and case studies, this publication reviews the intelligent, technological, and organizational aspects of the field. This book is ideally designed for IT professionals and students, data analysis specialists, healthcare providers, and policy makers.

Detail Book of Intelligent Techniques for Data Analysis in Diverse Settings PDF

Intelligent Techniques for Data Analysis in Diverse Settings
  • Author : Celebi, Numan
  • Release : 20 April 2016
  • Publisher : IGI Global
  • ISBN : 9781522500766
  • Genre : Computers
  • Total Page : 353 pages
  • Language : English
  • PDF File Size : 10,7 Mb

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Intelligent Techniques for Data Science

Intelligent Techniques for Data Science Author : Rajendra Akerkar,Priti Srinivas Sajja
Publisher : Springer
File Size : 50,8 Mb
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