Adil Joldic
Nina Bijedić
- University “Dzemal Bijedic” Mostar, Faculty of Information Technologies, Bosnia and Herzegovina
Dražena Gašpar
- University of Mostar, Faculty of Economics, Bosnia and Herzegovina
Abstract:
This paper presents the LANA Adaptive Labeling Framework (ALF) as an advanced framework for dynamic method labeling and selecting optimal data processing methods in multiple multicriteria intelligent software systems, focusing on business processes in higher education institutions (HEIs). Earlier approaches to method labeling relied on static hierarchical structures. In contrast, LANA ALF introduces adaptability through continuous learning from user feedback, automatic balancing of criteria based on historical data and current task requirements, and multidimensional labels for comprehensive method evaluation. Each query is represented with a set of labels, while neural networks evaluate the optimal method by balancing criteria such as performance, cost, reliability, and accuracy. User feedback is stored in dynamic tables (e.g., user satisfaction), automatically adapting their structure to new tasks and data types. The results demonstrate that LANA ALF enables intelligent agents to autonomously make decisions without the need for direct involvement of data science experts, thereby increasing accuracy, reliability, and user satisfaction. This framework provides a foundation for further application of ALF in various domains
Tenth International Scientific-Business Conference LIMEN Leadership, Innovation, Management and Economics: Integrated Politics of Research - LIMEN 2024 - International Scientific-Business Conference – LIMEN 2024: Vol 10. Conference Proceedings , December 5, 2024
Conference Proceedings published by: Association of Economists and Managers of the Balkans, Belgrade, Serbia
ISBN: 9788680194929 , ISSN: 26836149 , DOI: 10.31410/LIMEN.2024
Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission.
