Big Data Intelligence for Smart Applications
Published on 18. January 2022
XI, 334 pages
978-3-030-87954-9 (ISBN)
Description
Today, the use of machine intelligence, expert systems, and analytical technologies combined with Big Data is the natural evolution of both disciplines. As a result, there is a pressing need for new and innovative algorithms to help us find effective and practical solutions for smart applications such as smart cities, IoT, healthcare, and cybersecurity.
This book presents the latest advances in big data intelligence for smart applications. It explores several problems and their solutions regarding computational intelligence and big data for smart applications. It also discusses new models, practical solutions,and technological advances related to developing and transforming cities through machine intelligence and big data models and techniques. This book is helpful for students and researchers as well as practitioners.
This book presents the latest advances in big data intelligence for smart applications. It explores several problems and their solutions regarding computational intelligence and big data for smart applications. It also discusses new models, practical solutions,and technological advances related to developing and transforming cities through machine intelligence and big data models and techniques. This book is helpful for students and researchers as well as practitioners.
More details
Series
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XI, 334 p. 114 illus., 80 illus. in color.
File size
8,33 MB
ISBN-13
978-3-030-87954-9 (9783030879549)
DOI
10.1007/978-3-030-87954-9
Schweitzer Classification
Other editions
Additional editions
Youssef Baddi | Youssef Gahi | Yassine Maleh
Big Data Intelligence for Smart Applications
Book
01/2022
Springer
€192.59
Shipment within 7-9 days
Content
Data Quality in the Era of Big Data: A Global Review.- Adversarial Machine Learning, Research Trends and Applications.- Multi-agent Systems for Distributed Data Mining Techniques: An Overview.- Time Series Data Analysis using Deep Learning methods for Smart Cities monitoring.- A Low-Cost IMU-Based Wearable System for Precise Identification of Walk Activity using Deep Convolutional Neural Network.
