BIG DATA INTELLIGENCE FOR SMART APPLICATIONS Youssef Baddi (Editor), Youssef Gahi (Editor), Yassine Maleh (Editor), Mamoun Alazab (Editor), Loai Tawalbeh (Editor)

Contributor(s):

Baddi, Youssef

Material type: Text

TextSeries: ; 994 Publication details: Cham Springer 2022ISBN:

9783030879532

DDC classification:

005.7 BAD

Contents:

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

Summary: 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

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Holdings
Item type	Current library	Shelving location	Call number	Copy number	Status	Date due	Barcode
Books	CamTech Library	STEM & Engineering	005.7 BAD (Browse shelf(Opens below))	C.1	Available		CamTech 000971

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

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

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