Abstract
This paper develops a new semantic framework that supports employee performance appraisals, based on inductive logic programming and data mining techniques. The framework is applied to learn a grammar for writing SMART objectives and provide feedback. The paper concludes with an empirical evaluation of the framework which shows promising results. © 2013 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Aqel, D., & Vadera, S. (2013). A framework for employee appraisals based on inductive logic programming and data mining methods. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7934 LNCS, pp. 404–407). https://doi.org/10.1007/978-3-642-38824-8_49
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