Information Technology for Management: Approaches to Improving Business and Society
Springer International Publishing (Verlag)
978-3-031-29569-0 (ISBN)
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. AIST 2022 received 11 submissions, from which 2 full papers and 1 short paper have been accepted; for ISM 2022 2 full and 3 short papers have been accepted from 15 submissions; and for DSH 2022 2 full and 1 short papers have been accepted from 11 submissions. From the 17 submissions to KAM 2022, no paper passed the extended reviews, so the overall acceptance rate was 20% for full and 18% for short papers.The papers were organized in topical sections named: Approaches to improving business; approaches to improving society; and methods for improving business and society.
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.
| Erscheinungsdatum | 29.03.2023 |
|---|---|
| Reihe/Serie | Lecture Notes in Business Information Processing |
| Zusatzinfo | XVI, 233 p. 58 illus., 57 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 391 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik | |
| Schlagworte | Artificial Intelligence • Business Information Systems • Business Intelligence • Computer Applications • Deep learning • Linked Open Data • Multi-criteria Decision-Making • Project Management • RDF - Resource Description Framework |
| ISBN-10 | 3-031-29569-2 / 3031295692 |
| ISBN-13 | 978-3-031-29569-0 / 9783031295690 |
| Zustand | Neuware |
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