Knowledge Engineering in Higher Education

Data analysis shows significant part in assessment provision regardless of the kind of industries like industrial or an education institutes. EDM anxieties with emerging techniques for determining knowledge from didactic domain data. EDM techniques are applied to analyze undergraduate learners’ assessment. The performance focuses on problematic of domain-wise and subject-wise strong/weak graduates in their respective domain knowledge. In this research work, extract valuable knowledge of data gathered from Bharati Vidyapeeth (BV) College of Engineering. The data includes complete one batch of semester examinations during 2015--2019. HDFS and Map-Reduce framework is used because data is non-relational and unstructured from various departments. Using Map-Reduce classification students are assessed on their performance of knowledge domains as a strong and weak graduate in the given batch.