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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 /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Information technology for management/ edited by Ewa Ziemba, Witold Chmielarz, Jarosław Wątróbski.
其他題名:
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 /
其他題名:
AIST 2022 Track
其他作者:
Ziemba, Ewa.
團體作者:
AIST (Conference)
出版者:
Cham :Springer Nature Switzerland : : 2023.,
面頁冊數:
xvi, 233 p. :ill. (some col.), digital ;24 cm.
內容註:
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
標題:
Data mining - Congresses. -
電子資源:
https://doi.org/10.1007/978-3-031-29570-6
ISBN:
9783031295706
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 /
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 /[electronic resource] :AIST 2022 Trackedited by Ewa Ziemba, Witold Chmielarz, Jarosław Wątróbski. - Cham :Springer Nature Switzerland :2023. - xvi, 233 p. :ill. (some col.), digital ;24 cm. - Lecture notes in business information processing,4711865-1356 ;. - Lecture notes in business information processing ;471..
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.
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, DSH 2022, ISM 2022, and KAM 2022. AIST 2022 received 11 submissions, from which 2 full papers and 1 short paper have been accepted; for DSH 2022 2 full and 3 short papers have been accepted from 15 submissions; and for ISM 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.
ISBN: 9783031295706
Standard No.: 10.1007/978-3-031-29570-6doiSubjects--Topical Terms:
551626
Data mining
--Congresses.
LC Class. No.: QA76.9.D343
Dewey Class. No.: 006.312
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 /
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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.
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