國立虎尾科技大學 |

Big Data Intelligence for Smart Applications

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Big Data Intelligence for Smart Applications/ edited by Youssef Baddi, Youssef Gahi, Yassine Maleh, Mamoun Alazab, Loai Tawalbeh.
other author:	Baddi, Youssef.
Description:	XI, 334 p. 114 illus., 80 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Engineering—Data processing. -
Online resource:	https://doi.org/10.1007/978-3-030-87954-9
ISBN:	9783030879549

Big Data Intelligence for Smart Applications
Big Data Intelligence for Smart Applications[electronic resource] /edited by Youssef Baddi, Youssef Gahi, Yassine Maleh, Mamoun Alazab, Loai Tawalbeh. - 1st ed. 2022. - XI, 334 p. 114 illus., 80 illus. in color.online resource. - Studies in Computational Intelligence,9941860-9503 ;. - Studies in Computational Intelligence,564.

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.

ISBN: 9783030879549

Standard No.: 10.1007/978-3-030-87954-9doiSubjects--Topical Terms:

1297966
Engineering—Data processing.

LC Class. No.: TA345-345.5

Dewey Class. No.: 620.00285

Big Data Intelligence for Smart Applications
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