A Study on the application of Data Mining Methods in the analysis of Transcripts
Luis Raunheitte, Rubens De Camargo, Takato Kurihara, Alan Heitokotter, Juvenal J. Duarte
Schools always had an essential role in the formation of students‟ intellect; however, the constant incorporation of knowledge to improve techniques and technologies used in the production of goods and services has caused a major demand for highly qualified professionals and, in order to meet that need, the teaching process must understand and adapt to the profile of the students. The transcript is the most used document to measure the performance of a student. Its digital storage combined with data mining methodologies can contribute not only to the analysis of performances, but also to the identification of significant information about student Full Text
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