
Computer Science and Engineering-Theory and Applications
Springer (Publisher)
Published on 4. June 2019
Book
Paperback/Softback
VIII, 282 pages
978-3-319-89267-2 (ISBN)
Description
This book presents a collection of research findings and proposals on computer science and computer engineering, introducing readers to essential concepts, theories, and applications. It also shares perspectives on how cutting-edge and established methodologies and techniques can be used to obtain new and interesting results. Each chapter focuses on a specific aspect of computer science or computer engineering, such as: software engineering, complex systems, computational intelligence, embedded systems, and systems engineering. As such, the book will bring students and professionals alike up to date on key advances in these areas.
More details
Series
Edition
Softcover reprint of the original 1st ed. 2018
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
29 s/w Abbildungen, 77 farbige Abbildungen
VIII, 282 p. 106 illus., 77 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 16 mm
Weight
446 gr
ISBN-13
978-3-319-89267-2 (9783319892672)
DOI
10.1007/978-3-319-74060-7
Schweitzer Classification
Other editions
Additional editions

Mauricio A. Sanchez | Leocundo Aguilar | Manuel Castañón-Puga
Computer Science and Engineering-Theory and Applications
Book
02/2018
Springer
€160.49
Shipment within 10-15 days
Content
A Comprehensive Context-Aware Recommender System Framework.- Executive functions and their relationship with Interaction Design.- Integrating Learning Styles in an Adaptive Hypermedia System with Adaptive Resources.- On Modeling Tacit Knowledge for Intelligent Systems.- Influence of the betweenness centrality to char-acterize the behavior of communication in a group.- Multi-layered Network Modeled with MAS and Network Theory.- A Fuzzy Inference System and Data Mining Toolkit for Agent-Based Simulation in NetLogo.- An Approach to Fuzzy Inference System based Fuzzy Cognitive Maps.