Overview

This book constitutes revised selected and extended papers presented at track 4 of the Conference on Computer Science and Intelligence Systems, FedCSIS 2020, which took place in Sofia, Bulgaria, during September 6–9, 2020. The FedCSIS Information Systems and Technologies Track included AIST 2020, DSH 2020, ISM 2020, and KAM 2020. For this track, a total of 29 submissions was received from which a total of 5 full and 3 short papers was accepted for publication in this volume. The papers were organized in topical sections named: improving project management methods; numerical methods of solving management problems; and technological infrastructure for business excellence.  

Full Product Details

Author:   Ewa Ziemba ,  Witold Chmielarz
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Volume:   413
Weight:   0.454kg
ISBN:  

9783030718459

ISBN 10:   303071845
Pages:   165
Publication Date:   18 March 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

Improving Project Management Methods.- Digital Assets for Project-Based Studies and Project Management.- Data Quality Model-based Testing of Information Systems: Two-level Testing of the Insurance System.- Advanced Comprehension Analysis Using Code Puzzle - Considering the Programming Thinking Ability.- Numerical Methods of Solving Management Problems.- Wind Farms Maintenance Optimization Using a Pickup and Delivery VRP Algorithm.- An Improved Map Matching Algorithm Based on Dynamic Programming Approach.- A Cluster-based Approach to Solve Rich Vehicle Routing Problems.- Technological Infrastructure for Business Excellence.- Street Addressing System as an Essential Component in Sustainable Development and Realization of Smart City Conception.- Digital Transformation in Legal Metrology: An Approach to a Distributed Architecture for Consolidating Metrological Services and Data.

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