Information Technology for Management: Approaches to Improving Business and Society

AIST 2022 Track and 17th Conference, ISM 2022, Held as Part of FedCSIS 2022, Sofia, Bulgaria, September 4–7, 2022, Extended and Revised Selected Papers

AvEwa Ziemba,Witold Chmielarz

Häftad, Engelska, 2023

Del 471 i serien Lecture Notes in Business Information Processing

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Beskrivning

This book constitutes revised selected and extended papers presented at track 4 of the Conference on Computer Science and Intelligence Systems, FedCSIS 2022, which took place in Sofia, Bulgaria, during September 4–7, 2022. The FedCSIS Information Systems and Technologies Track included AIST 2022, ISM 2022, DSH 2022, and KAM 2022.

Produktinformation

Utgivningsdatum:2023-03-28
Mått:155 x 235 x 14 mm
Vikt:388 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Business Information Processing
Antal sidor:233
Förlag:Springer International Publishing AG
ISBN:9783031295690

Utforska kategorier

Artificiell intelligens inom Data och IT
Affärsförhandlingar inom Ekonomi och Ledarskap
Tillämpad datateknik inom Data och IT

Innehållsförteckning

Configuration Approach of User Requirements for Analytical Applications - Challenges, State of the Art and Evaluation.- Human Performance Management: A Humanist and Supportive Model for IT Professionals.- Companies in Multilingual Wikipedia: Articles Quality and Important Sources of Information.- Analysis for Women’s’ Menstrual Health Disorders using Artificial Intelligence.- Symptoms of Dementia in Elderly Persons using Waveform Features of Pupil Light Reflex.- Assessment of Optimisation Results for Shared Cars.- A Students’ Perception of Distance Activities during the COVID-19 Pandemic: Polish and Ukrainian Perspective.- The Iterative Compromise Ranking Analysis (ICRA) – the New Approach to Make Reliable Decisions.- Temporal SWARA-SPOTIS for Multi-Criteria Assessment of European Countries Regarding Sustainable RES Exploitation.- A Sustainable Approach for Determining Compromise Ranking Based on Intuitonistic Fuzzy Score Functions.- Missing Types Prediction in Linked Data Using Deep Neural Network with Attention Mechanism: Case Study on DBpedia and UniProt Datasets.