An Efficient Educational Data Mining Approach to Support E-learning

Padmaja Appalla, Venu Madhav Kuthadi, Tshilidzi Marwala · Advances in intelligent systems and computing · 2016

Currently, data mining technique has become popular in online learning environment for learning as this technique works on huge amount of dataset. There are several e-learning systems which are based on the classroom, providing the natural interface of human-computer and the communication among to multi-modality, and the computing technology of integrated pervasive in the classroom. The pervasive computing for the development of some of the requirements is being raised for system openness, scalability and extensibility. Everyone could access the materials of learning from anywhere with the help of internet. Increased access of users also leads to security requirements and higher efficiency in data retrieval. To address these concerns, we propose an educational data mining approach and OTP system for improving the efficiency of data retrieval and security. This system provides more accuracy in data mining and secure data transmission.

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