Descriptive and Predictive Data Mining Techniques to Improve Student Academics and Employability


Authors : B. Dhana Laxmi, B. Kavitha, M. Nagarani

Volume/Issue : Volume 2 - 2017, Issue 12 - December

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://goo.gl/8vru5G

Thomson Reuters ResearcherID : https://goo.gl/3bkzwv

In current trends, data mining is the most important domain in the real world aspects. By using data mining Techniques, we can identify the knowledge of different areas and get the best patterns. Data Mining Techniques are used in various applications i.e., Health care, Customer Relationship Management, Market Prediction, Fraud Detection…, One of the important applications where data mining used is in Education. In the present knowledge-based era, education plays a major role in the progress of a nation’s economy and development. Thus, the research on development in education is an important work and is actually required. Institutions are applying data mining technologies on the huge data generated in class room including academic, behavioral, demographic data of students and faculty data as well to find out the useful patterns and fill the gap between the student academics and employability.

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