Information technology for managemen...
AIST (Conference) ((2022 :)

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  • 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 /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Information technology for management/ edited by Ewa Ziemba, Witold Chmielarz, Jarosław Wątróbski.
    Reminder of title: 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 /
    remainder title: AIST 2022 Track
    other author: Ziemba, Ewa.
    corporate name: AIST (Conference)
    Published: Cham :Springer Nature Switzerland : : 2023.,
    Description: xvi, 233 p. :ill. (some col.), digital ;24 cm.
    [NT 15003449]: 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.
    Contained By: Springer Nature eBook
    Subject: Data mining - Congresses. -
    Online resource: https://doi.org/10.1007/978-3-031-29570-6
    ISBN: 9783031295706
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