Intelligent Techniques for Data Analysis in Diverse Settings

Nonfiction, Computers, Database Management, Data Processing, General Computing
Cover of the book Intelligent Techniques for Data Analysis in Diverse Settings by , IGI Global
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9781522500773
Publisher: IGI Global Publication: April 20, 2016
Imprint: Information Science Reference Language: English
Author:
ISBN: 9781522500773
Publisher: IGI Global
Publication: April 20, 2016
Imprint: Information Science Reference
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from IGI Global

Cover of the book Information Seeking Behavior and Technology Adoption by
Cover of the book Building a Competitive Public Sector with Knowledge Management Strategy by
Cover of the book Semantic Web by
Cover of the book Innovative Strategies and Approaches for End-User Computing Advancements by
Cover of the book Interdisciplinary Applications of Electronic Collaboration Approaches and Technologies by
Cover of the book Social Development and High Technology Industries by
Cover of the book Global Sustainable Development and Renewable Energy Systems by
Cover of the book Interdisciplinary and International Perspectives on 3D Printing in Education by
Cover of the book Critical Research on Sexism and Racism in STEM Fields by
Cover of the book Journalism and Ethics by
Cover of the book Advanced Methodologies and Technologies in Media and Communications by
Cover of the book Handbook of Research on Sociopolitical Factors Impacting Economic Growth in Islamic Nations by
Cover of the book Handbook of Research on Higher Education in the MENA Region by
Cover of the book Risk and Contingency Management by
Cover of the book Integrated and Strategic Advancements in Decision Making Support Systems by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy