This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area. It demonstrates that Big Data Analysis opens up new research problems which were either never considered before, or were only considered within a limited range. In addition to providing methodological discussions on the principles of mining Big Data and the difference between traditional statistical data analysis and newer computing frameworks, this book presents recently developed algorithms affecting such areas as business, financial forecasting, human mobility, the Internet of Things, information networks, bioinformatics, medical systems and life science. It explores, through a number of specific examples, how the study of Big Data Analysis has evolved and how it has started and will most likely continue to affect society. While the benefits brought upon by Big Data Analysis are underlined, the book also discusses some of the warnings that have been issued concerning the potential dangers of Big Data Analysis along with its pitfalls and challenges.
Read More
Specifications
Book Details
Title
Big Data Analysis: New Algorithms for a New Society
Imprint
Springer International Publishing AG
Product Form
Paperback
Publisher
Springer International Publishing AG
Genre
Computers
ISBN13
9783319800530
Book Category
Higher Education and Professional Books
BISAC Subject Heading
COM004000
Book Subcategory
Computing and Information Technology Books
ISBN10
9783319800530
Language
English
Dimensions
Height
235 mm
Length
155 mm
Weight
528 gr
Be the first to ask about this product
Safe and Secure Payments.Easy returns.100% Authentic products.