| Popis: |
This paper proposes an automated methodology for determining the syntactic-themed belongings between the minimum contents of careers computer area with standards established according to different degrees assigned to them. The automatic process groups the minimum contents of the careers establishing the degree of syntactic similarity of these, with the areas or thematic objectives resolutions or appropriate regulatory frameworks, thus favoring an initial analysis of curricula that may lead to the decision to make corrections on them. The application was carried out using modules modeling and text mining (TextMining -TM-) tool free software RapidMiner (RM) version 5.3.15. The case study considered is the Bachelor em career Computer Science Department of Informatics Science Faculty of Exact, Physical and Natural Sciences of the National University of San Juan. |
