Data Science and Big Data: An Environment of Computational Intelligence

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Database Management, General Computing
Cover of the book Data Science and Big Data: An Environment of Computational Intelligence by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319534749
Publisher: Springer International Publishing Publication: March 21, 2017
Imprint: Springer Language: English
Author:
ISBN: 9783319534749
Publisher: Springer International Publishing
Publication: March 21, 2017
Imprint: Springer
Language: English

This book presents a comprehensive and up-to-date treatise of a range of methodological and algorithmic issues. It also discusses implementations and case studies, identifies the best design practices, and assesses data analytics business models and practices in industry, health care, administration and business.

Data science and big data go hand in hand and constitute a rapidly growing area of research and have attracted the attention of industry and business alike. The area itself has opened up promising new directions of fundamental and applied research and has led to interesting applications, especially those addressing the immediate need to deal with large repositories of data and building tangible, user-centric models of relationships in data. Data is the lifeblood of today’s knowledge-driven economy.

Numerous data science models are oriented towards end users and along with the regular requirements for accuracy (which are present in any modeling), come the requirements for ability to process huge and varying data sets as well as robustness, interpretability, and simplicity (transparency). Computational intelligence with its underlying methodologies and tools helps address data analytics needs.

The book is of interest to those researchers and practitioners involved in data science, Internet engineering, computational intelligence, management, operations research, and knowledge-based systems.

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

This book presents a comprehensive and up-to-date treatise of a range of methodological and algorithmic issues. It also discusses implementations and case studies, identifies the best design practices, and assesses data analytics business models and practices in industry, health care, administration and business.

Data science and big data go hand in hand and constitute a rapidly growing area of research and have attracted the attention of industry and business alike. The area itself has opened up promising new directions of fundamental and applied research and has led to interesting applications, especially those addressing the immediate need to deal with large repositories of data and building tangible, user-centric models of relationships in data. Data is the lifeblood of today’s knowledge-driven economy.

Numerous data science models are oriented towards end users and along with the regular requirements for accuracy (which are present in any modeling), come the requirements for ability to process huge and varying data sets as well as robustness, interpretability, and simplicity (transparency). Computational intelligence with its underlying methodologies and tools helps address data analytics needs.

The book is of interest to those researchers and practitioners involved in data science, Internet engineering, computational intelligence, management, operations research, and knowledge-based systems.

More books from Springer International Publishing

Cover of the book Sustainability Conflicts in Coastal India by
Cover of the book Strategic Supply Chain Management by
Cover of the book Sustainable Energy and the Environment: A Clean Technology Approach by
Cover of the book Polymeric Cryogels by
Cover of the book Philosophical, Logical and Scientific Perspectives in Engineering by
Cover of the book Feminism, Capitalism, and Critique by
Cover of the book Biologically Inspired Cognitive Architectures 2018 by
Cover of the book Innovation and Technology Enhancing Mathematics Education by
Cover of the book Contemporary Israeli–Turkish Relations in Comparative Perspective by
Cover of the book Computational Processing of the Portuguese Language by
Cover of the book Internally Heated Convection and Rayleigh-Bénard Convection by
Cover of the book Advances in Human Factors in Architecture, Sustainable Urban Planning and Infrastructure by
Cover of the book Affect Theory, Shame, and Christian Formation by
Cover of the book Geology of Southwest Gondwana by
Cover of the book Algorithms and Models for the Web Graph 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