Information Technology for Management: Approaches to Improving Business and Society [E-Book] : 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 / edited by Ewa Ziemba, Witold Chmielarz, Jarosław Wątróbski.
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, DS...
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Full text |
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Personal Name(s): | Chmielarz, Witold, editor |
Wątróbski, Jarosław, editor / Ziemba, Ewa, editor | |
Edition: |
1st edition 2023. |
Imprint: |
Cham :
Springer,
2023
|
Physical Description: |
XVI, 233 pages 58 illustrations, 57 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9783031295706 |
DOI: |
10.1007/978-3-031-29570-6 |
Series Title: |
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Lecture Notes in Business Information Processing ;
471 |
Subject (LOC): |
- 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.