Implementation of Adaptive DBSCAN for cluster analysis

Author(s):

Usha G , KCG College of Technology; Sudha T, KCG College of Technology; Priya Dharshini D A, KCG College of Technology

Keywords:

Data mining, Clustering, Adaptive DBSCAN

Abstract:

The ability to monitor students’ academic performance as well as their participation in other events and managing a record for the same is a critical issue to the staff members. Encouraging the students to improve in the area were they are lacking behind is necessary. In this paper we propose a system where the staff members can update the student records in areas like academics, technical skills and participation in extracurricular activities and viewing the same whenever necessary. Further we implemented the adaptive DBSCAN for clustering the students based on their performance in various areas. Based on the resulting clusters the staffs identify the performance of each student and the students’ progress can also be monitored.

Other Details:

Manuscript Id	:	IJSTEV2I9082
Published in	:	Volume : 2, Issue : 9
Publication Date	:	01/04/2016
Page(s)	:	164-168

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