ASISTENCIA AL SEGUIMIENTO DOCENTE BASADA EN TÉCNICAS AVANZADAS DE ANÁLISIS
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摘要
This paper presents an academic tracing support application based on data mining algorithms, neural networks and fuzzy logic methods. The information technologies progresses have propitiated a dramatic increase of the data volume handled by a wide range of organizations, academic ones included. For this reason, tools that provide information from data in a flexible, reliable and immediate way are required. This application proposes an interface to explore the data from different viewpoints in a comfortable but powerful way, becoming a valuable assistant to the making of decisions in academic improvement plans.
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