چکیده مقاله
Different organizations, companies, and businesses evaluate the performance of their personnel using several indicators during evaluation intervals Generally, indicators are categorized by evaluation forms, and evaluation results are extracted based on them Therefore, this method of classification may not reveal the logical relationship between indicators As a result, it is essential to investigate the behavior of an organization’s performance indicators more accurately and make the dependence between indicators clearer to managers According to the generated information throughout the evaluation process, the interaction between evaluation indicators can be analyzed, using association rule mining In this paper, we propose the Apriori algorithm to discover frequent relationships between evaluation indicators over a time span Further, the performance of this approach is evaluated by a real large dataset from TESMA organizational performance management software
کلیدواژهها
نویسندگان
Leilanaz Akbari
Department of Data Mining, Yesna Pars Research & Development Co , Mashhad, Iran
Boshra Rajaei
Department of Computer and Information Technology Engineering, Sadjad University of Technology
Amin Zivari
Department of Data Mining, Yesna Pars Research & Development Co , Mashhad, Iran
شیوه ارجاع
Akbari, Leilanaz and Rajaei, Boshra and Zivari, Amin,1401,Application of association rule mining in investigating the interaction between evaluation indicators in the performance measurement system: a case study,8th International Conference on Industrial and Systems Engineering,Mashhad
ارائهشده در
مجموعه مقالات هشتمین کنفرانس بین المللی مهندسی صنایع و سیستم ها16 شهریور 1401 · مشهد