Stock photo: cover may vary
Machine Learning Paradigms: Advances in Data Analytics Hardback - 2018
by Tsihrintzis, George A. (Edited by)/ Sotiropoulos, Dionisios N. (Edited by)/ Jain, Lakhmi C. (Edited by)
- New
- Hardback
A$450.23
A$28.66
Delivery to USA
Standard delivery: 7 to 14 days
More delivery options
Standard delivery: 7 to 14 days
Ships from Revaluation Books (Devon, United Kingdom)
Details
- Title Machine Learning Paradigms: Advances in Data Analytics
- Author Tsihrintzis, George A. (Edited by)/ Sotiropoulos, Dionisios N. (Edited by)/ Jain, Lakhmi C. (Edited by)
- Binding Hardback
- Condition New
- Pages 370
- Volumes 1
- Language ENG
- Publisher Springer
- Publication date 2018
- Illustrated Yes
- Features Illustrated
- Bookseller's Inventory # x-3319940295
- ISBN 9783319940298 / 3319940295
- Weight 1.58 lbs (0.72 kg)
- Dimensions 9.21 x 6.14 x 0.88 in (23.39 x 15.60 x 2.24 cm)
- Category Business / Economics / Finance
- Dewey Decimal Code 006.3
- Quantity available 2
About Revaluation Books Devon, United Kingdom
Biblio member since 2020
General bookseller of both fiction and non-fiction.
Reader reviews for Machine Learning Paradigms: Advances in Data Analytics
Write a review for this book
Important Terms and Guidelines
- Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
- Reviews must be at least 140 characters in length.
- Please do not reveal critical plot elements.
- This is not a help line. Contact customer support if you need help.
Your review must not include:
- Obscenities, discriminatory language, or other insulting language not suitable for public domain
- Advertisements, “spam” content, or references to other products, offers or websites.
- Email addresses, URLs, phone numbers, physical addresses or other contact information.
- Overly critical comments about other reviews or reviewers
- Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
- Availability, price, or alternative ordering/shipping information
From the publisher
From the rear cover
This book explores some of the emerging scientific and technological areas in which the need for data analytics arises and is likely to play a significant role in the years to come. At the dawn of the 4th Industrial Revolution, data analytics is emerging as a force that drives towards dramatic changes in our daily lives, the workplace and human relationships. Synergies between physical, digital, biological and energy sciences and technologies, brought together by non-traditional data collection and analysis, drive the digital economy at all levels and offer new, previously-unavailable opportunities.
The need for data analytics arises in most modern scientific disciplines, including engineering; natural-, computer- and information sciences; economics; business; commerce; environment; healthcare; and life sciences.
Coming as the third volume under the general title MACHINE LEARNING PARADIGMS, the book includes an editorial note (Chapter 1) and an additional 12 chapters, and is divided into five parts: (1) Data Analytics in the Medical, Biological and Signal Sciences, (2) Data Analytics in Social Studies and Social Interactions, (3) Data Analytics in Traffic, Computer and Power Networks, (4) Data Analytics for Digital Forensics, and (5) Theoretical Advances and Tools for Data Analytics.
This research book is intended for both experts/researchers in the field of data analytics, and readers working in the fields of artificial and computational intelligence as well as computer science in general who wish to learn more about the field of data analytics and its applications. An extensive list of bibliographic references at the end of each chapter guides readers to probe further into the application areas of interest to them.
