Big Data Intelligence for Smart Applications

1. Auflage 2022
ISBN: 978-3-030-87956-3
Verlag: Springer International Publishing

Buch, Englisch, Band 994, 334 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 528 g

Reihe: Studies in Computational Intelligence

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.

Zielgruppe

Research

Autoren/Hrsg.

Baddi, Youssef

Gahi, Youssef

Tawalbeh, Loai

Maleh, Yassine

Alazab, Mamoun

Fachgebiete

• Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik

Inhaltsverzeichnis

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.