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Using Text Mining to Identify Employee Dissatisfaction Optimized by Modified Metaheuristics, Chapter in AIS Algorithms for Intelligent Systems: PCCDA 2024: International Conference on Paradigms of Communication, Computing and Data Analytics, Springer
| Title: | Using Text Mining to Identify Employee Dissatisfaction Optimized by Modified Metaheuristics, Chapter in AIS Algorithms for Intelligent Systems: PCCDA 2024: International Conference on Paradigms of Communication, Computing and Data Analytics, Springer | Authors: | V. Mizdrakovic   ; L. Jovanovic ; M. Zivkovic ; M. Antonijevic ; J. Kaljevic ; N. Bacanin |
Issue Date: | 2025 | Publication: | AIS Algorithms for Intelligent Systems: PCCDA 2024: Proceedings of International Conference on Paradigms of Communication, Computing and Data Analytics | ISSN: | 2524-7565  Search Idenfier |
Publisher: | Springer, Singapore | Type: | Book parts | ISBN: | 978-981-97-7945-1 Search Idenfier |
Collation: | str. 1-14 | DOI: | 10.1007/978-981-97-7946-8_1 | URI: | http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/3/11180 https://enauka.gov.rs/handle/123456789/968734 |
URL: | https://link.springer.com/chapter/10.1007/978-981-97-7946-8_1 | Availability note: | Пуни текст није јавно доступан | M-category: | Mp. category will be shown later |
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