• PRAKASH CHANDRA BEHERA
• Chinmaya Dash
• Somanjoli Mohapatra

Data mining is a great innovative technology which helps corporations to focus on the most important information in the data of their stockrooms. Data mining is used in various statistical, machine learning and in graphical methods. Data mining separates the knowledge in to a form which is very useful for many real world applications. Educational Data Mining (EDM) is the process of converting raw data from Educational systems to useful information that can be used by educational software Developers, students, teachers, parents, and other educational researchers. Currently there is an increasing interest in data mining and educational systems, making educational data mining as a new growing research community. This work provides the application of data mining to traditional educational systems, particular web-based courses, well-known learning content management systems, and adaptive and intelligent web-based educational systems. Each of these systems has different data source and objectives for knowledge discovering. After preprocessing the available data in each case, data mining techniques can be applied: statistics and visualization; clustering, classification and outlier detection; association rule mining and pattern mining; and text mining. The success of the plentiful work needs much more specialized work in order for educational data mining to become a mature area.

Data mining and E-learning, Educational Data Mining,Process of Data Mining in E-Learning

" DATA MINING AND E-LEARNING PROCESS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.73-78, May-2019, Available :http://www.jetir.org/papers/JETIR1905809.pdf

" DATA MINING AND E-LEARNING PROCESS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp73-78, May-2019, Available at : http://www.jetir.org/papers/JETIR1905809.pdf