A Model for Recommending Specialization Courses: Based on the Professional Profile of Candidates

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Provided by: IARIA
Topic: Data Management
Format: PDF
The paper studies the candidates' professional profile on choosing a specialization course. A methodology based on the processes Knowledge Discovery in Databases (KDD) and CRoss-Industry Standard Process for Data Mining (CRISP-DM) is applied, and proposed a course recommendation model, using a technique of data mining based on decision trees for the discovery of relevant knowledge from database, which will identify the most suitable course to a candidate's profile. In this paper, it is expected to be detected the specialization courses which best suits each candidate profile, giving support to academic institution to satisfy candidates needs and reduce the number of dropouts or changes.
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