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Authors
Affiliations
1 Department of Computer Science & Engineering (PG), SNS College of Technology, Sathy Main Road, Coimbatore-641035, IN
2 Department of Computer Science Engineering, SNS College of Technology, Sathy Main Road, Coimbatore-641035, IN
Source
Data Mining and Knowledge Engineering, Vol 4, No 8 (2012), Pagination: 401-405
Abstract
The education performance is a turning point for all the students in academics. This is used to identify the difference between the fast learners and slow learners. Students' retention has become an indication of academic performance and enrolment management. The ability to predict a student's performance is very important in educational environments. Students' academic performance is based upon diverse factors like personal, social, Psychological and other environmental variables. A very promising tool to attain this objective is the use of Data Mining. Data mining techniques are used to discover hidden information patterns and relationships of large amount of data, which is very much helpful in decision making. A single data contains a lot of information. The type of information is produced by the data and it decides the processing method of data. A lot of data that can produce valuable information, in education sector contains this valuable information. Which helps the education sector to capture and compile low cost information for this information and communication technology is used. Now-a-days educational database is increased rapidly because of the large amount of data stored in it. The loyal students motivate the higher education systems, to know them well; the best way is by using valid management and processing of the students' database. Data mining approach provides valid information from existing student to manage relationships with upcoming students. One of the main problems faced by students is to take the right decision in relation to their academic itinerary based on available information.
