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World Journal of Engineering
Research and Technology

An International Peer Reviewed Journal for Engineering Research and Technology

ISSN 2454-695X

Impact Factor : 5.218

ICV : 79.45

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Abstract

PREDICTING STUDENT PERFORMANCE USING RESULT MINING AND KNOWLEDGE FLOW IN WEKA

Dr. A. Kanaka Durga*

ABSTRACT

It is natural that the quantity of data collected will continue to expand rapidly because of the increasing ease, availability and popularity of the web. Data Mining has its great application in organizations because it collects large amount of data. By applying data mining techniques people can work on the extraction of hidden, historical and previously unknown large databases. In this paper we used weka tool for the pre-processing, classification and analysis of institutional results of engineering students. Results show analysis of marks and backlogs. Knowledge flow analysis has been carried out on engineering students’ results.

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