Data Mining: Performance Improvement In Education Sector Using Classification And Clustering Algorithm

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.