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Rupa, Ch.
- Data Mining: Performance Improvement In Education Sector Using Classification And Clustering Algorithm
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Source
International Journal of Innovative Research and Development, Vol 2, No 7 (2013), Pagination:Abstract
The ability to predict a student’s performance is very important in educationalenvironments. 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.