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Using this data set, success status of participants is observed by using data mining methods (C5.0, Random Forest and Gini). By observing using accuracy, error rate, specificity and f- score from performance evaluation criteria, C5.0 has chosen the algorithm which gives the best performance results. According to the results of the study, it has been determined that the sectors of the employees are not important, on the contrary the ones that are important are the completion status, the duration of experience and training.<\/jats:p>","DOI":"10.4018\/ijea.2017010104","type":"journal-article","created":{"date-parts":[[2017,2,23]],"date-time":"2017-02-23T16:16:30Z","timestamp":1487866590000},"page":"38-49","source":"Crossref","is-referenced-by-count":4,"title":["Observation of Success Status of Employees in E-Learning Courses in Organizations with Data Mining"],"prefix":"10.4018","volume":"9","author":[{"given":"Fatma \u00d6nay","family":"Ko\u00e7o\u011flu","sequence":"first","affiliation":[{"name":"Informatics Department, \u0130stanbul University, \u0130stanbul, Turkey"}]},{"given":"\u0130lkim Ecem","family":"Emre","sequence":"additional","affiliation":[{"name":"Informatics Department, \u0130stanbul University, \u0130stanbul, Turkey"}]},{"given":"\u00c7i\u011fdem Sel\u00e7ukcan","family":"Erol","sequence":"additional","affiliation":[{"name":"Informatics Department, \u0130stanbul University, \u0130stanbul, Turkey"}]}],"member":"2432","reference":[{"key":"IJEA.2017010104-0","unstructured":"Atasoy, Y. 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