Mining Student Data to characterize similar behavior Groups using Distributed Data mining For Performance Improvement
| Author(s) | : | Pooja Bhatt, Dinesh Vaghela, Dr.Priyanka Sharma |
| Institution | : | Computer Engg. Department, Parul Institute of Technology |
| Published In | : | Vol. 2, Issue 1 — January 2015 |
| Page No. | : | 267-272 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Educational data mining is very important for characterize similar behavior groups for the student’s performanceImprovement. In this paper, we have provide the proposed flow that how to characterize similar behavior groups usingdistributed data mining. There are preprocessing the data, data mining techniques to discover association and collection ofthe attributes, classification, and clustering techniques. In these tasks, we extracted knowledge that describes students'behavior.
Pooja Bhatt, Dinesh Vaghela, Dr.Priyanka Sharma, “Mining Student Data to characterize similar behavior Groups using Distributed Data mining For Performance Improvement”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 1, pp. 267-272, January 2015.
