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  • Search: subject:"Association rules mining"
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Year of publication
Subject
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Data Mining 4 Data mining 4 Association rules mining 3 association rules mining 3 Bergbau 2 Fintech industry 2 Metaverse 2 Mining 2 Text mining 2 Beziehungsmarketing 1 Bibliometrics 1 Bibliometrie 1 Consumer behaviour 1 Customer behavior 1 Delphi technique 1 Delphi-Methode 1 Demographie 1 Demography 1 Demography prediction 1 E-commerce 1 Electronic Commerce 1 Financial technology 1 Finanztechnologie 1 Forecasting model 1 Forschung 1 Iran 1 Konsumentenverhalten 1 Online retailing 1 Online-Handel 1 PSO 1 Prognoseverfahren 1 Relationship marketing 1 Research 1 Scientific method 1 Technischer Fortschritt 1 Technological change 1 Technologievorausschau 1 Technology foresight 1 Text 1 Topic modeling 1
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Online availability
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Free 2 Undetermined 2 CC license 1
Type of publication
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Article 6
Type of publication (narrower categories)
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Article in journal 4 Aufsatz in Zeitschrift 4 Article 1
Language
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English 5 Undetermined 1
Author
All
Choi, Miseon 2 Kim, Jinhwa 2 Liu, Hui 2 Bieliková, Mária 1 Indira, K. 1 Kanmani, S. 1 Kompan, Michal 1 Li, Munan 1 Salehzadeh, Reza 1 Shahin, Arash 1 Trebulova, Zuzana 1 Urbancokova, Veronika 1
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Published in...
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Global Business & Finance Review (GBFR) 1 Global business and finance review 1 International Journal of Data Analysis Techniques and Strategies 1 International journal of business information systems : IJBIS 1 Journal of electronic commerce research : JECR 1 Technology analysis & strategic management 1
Source
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ECONIS (ZBW) 4 EconStor 1 RePEc 1
Showing 1 - 6 of 6
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The analysis of impact of metaverse on the Fintech industry based on text mining and association rules mining
Liu, Hui; Choi, Miseon; Kim, Jinhwa - In: Global business and finance review 29 (2024) 7, pp. 93-109
Purpose: The purpose of our study is to explore the influence of Metaverse on FinTech industry and identify the mediators between them. Design/methodology/approach: To achieve the purpose, we conducted words frequency analysis, network analysis, and association rules analysis, based on 68,957...
Persistent link: https://www.econbiz.de/10015069557
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Cover Image
The analysis of impact of metaverse on the Fintech industry based on text mining and association rules mining
Liu, Hui; Choi, Miseon; Kim, Jinhwa - In: Global Business & Finance Review (GBFR) 29 (2024) 7, pp. 93-109
Purpose: The purpose of our study is to explore the influence of Metaverse on FinTech industry and identify the mediators between them. Design/methodology/approach: To achieve the purpose, we conducted words frequency analysis, network analysis, and association rules analysis, based on 68,957...
Persistent link: https://www.econbiz.de/10015098856
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Behavior-based customer demography prediction in e-commerce
Urbancokova, Veronika; Kompan, Michal; Trebulova, Zuzana; … - In: Journal of electronic commerce research : JECR 21 (2020) 2, pp. 96-112
Persistent link: https://www.econbiz.de/10012295994
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An exploration to visualise the emerging trends of technology foresight based on an improved technique of co-word analysis and relevant literature data of WOS
Li, Munan - In: Technology analysis & strategic management 29 (2017) 6, pp. 655-671
Persistent link: https://www.econbiz.de/10011711355
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Mining association rules using hybrid genetic algorithm and particle swarm optimisation algorithm
Indira, K.; Kanmani, S. - In: International Journal of Data Analysis Techniques and … 7 (2015) 1, pp. 59-76
Evolutionary computation has become the popular choice for solving complex problems, which are otherwise difficult to solve by traditional methods. Genetic algorithm (GA) and particle swarm optimisation (PSO) are both population-based heuristic search methods, which are well suited for mining...
Persistent link: https://www.econbiz.de/10011207794
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Investigating the relationship among self-leadership strategies by association rules mining
Shahin, Arash; Salehzadeh, Reza - In: International journal of business information systems : … 14 (2013) 1, pp. 41-55
Persistent link: https://www.econbiz.de/10009790681
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