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  1. AU="Mohamed El Mohadab"
  2. AU="Jamjoom, Maan"
  3. AU="Benjamin K. Harley"
  4. AU="Redpath, Stephanie"
  5. AU="Costa Oliveira, Diogo"
  6. AU="Ibarra-Meneses, Ana Victoria"
  7. AU=Ozgenel Guzin Yesim
  8. AU="Shu-Ying Li"
  9. AU="Umemura, Yutaka"
  10. AU=Eiring A M
  11. AU="Eunhee Ha"
  12. AU="Espíndola, Otávio M"
  13. AU=Shahbazian Heshmatollah
  14. AU="Esmaeel Panahi kokhdan"
  15. AU=Peekhaus N
  16. AU="Ferrari-Toniolo, Simone"
  17. AU="Oleg M. Mikhailenok"

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Artikel ; Online: Automatic CV processing for scientific research using data mining algorithm

Mohamed El Mohadab / Belaid Bouikhalene / Said Safi

Journal of King Saud University: Computer and Information Sciences, Vol 32, Iss 5, Pp 561-

2020  Band 567

Abstract: To manage and measure the performance of scientific research at the university, managers or policymakers need synthetic indicators that are cleverly grouped in several indicators which aim to offer to the leaders the necessary tools, so as to improve ... ...

Abstract To manage and measure the performance of scientific research at the university, managers or policymakers need synthetic indicators that are cleverly grouped in several indicators which aim to offer to the leaders the necessary tools, so as to improve scientific research. The governance of information system has posed a serious challenge for the leadership of universities especially through the use of decision aid. In order to improve the information system, especially scientific research, a study of automatizing curriculum vitae for researchers of different disciplines belonging to various research laboratories is discussed in this paper. The use of natural language processing with data mining classifier Decision Tree is presented in order to predict the field of work of each researcher. The choice of Decision Tree classifier among One Rule classifier and Naive Bayes classifier is not arbitrary; it is chosen by comparing performance metrics- such as Precision, Recall, F-measure, Correctly Classify Instance, Incorrectly Classify Instance, Kappa Statistic, Root Mean Squad Error, Relative Absolute Error, and Root Relative Squad Error.
Schlagwörter Scientific research ; Natural language processing ; Data mining ; Decision aid ; CV processing ; Electronic computers. Computer science ; QA75.5-76.95
Thema/Rubrik (Code) 001 ; 006
Sprache Englisch
Erscheinungsdatum 2020-06-01T00:00:00Z
Verlag Elsevier
Dokumenttyp Artikel ; Online
Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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