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A Framework for Employee Appraisals Based on Inductive Logic Programming and Data Mining Methods

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7934))

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.

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Aqel, D., Vadera, S. (2013). A Framework for Employee Appraisals Based on Inductive Logic Programming and Data Mining Methods. In: Métais, E., Meziane, F., Saraee, M., Sugumaran, V., Vadera, S. (eds) Natural Language Processing and Information Systems. NLDB 2013. Lecture Notes in Computer Science, vol 7934. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38824-8_49

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  • DOI: https://doi.org/10.1007/978-3-642-38824-8_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38823-1

  • Online ISBN: 978-3-642-38824-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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