Educational Data Mining: A Blend of Heuristic and K-Means Algorithm to Cluster Students to Predict Placement Chance

G. Hareesh Kumar; Ashok. M. V

Title:
Educational Data Mining: A Blend of Heuristic and K-Means Algorithm to Cluster Students to Predict Placement Chance

Authors:
Ashok. M. V | G. Hareesh Kumar
DOI:
https://doi.org/10.31142/ijtsrd18882

Cite This Article :

Ashok. M. V | G. Hareesh Kumar "Educational Data Mining: A Blend of Heuristic and K-Means Algorithm to Cluster Students to Predict Placement Chance" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6, October 2018, pp.1401-1406, URL: https://www.ijtsrd.com/papers/ijtsrd18882.pdf

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Abstract :
Educational data mining emphasizes on developing algorithms and new tools for identifying distinctive sorts of data that come from educational settings, to better understand students. The objective of this paper is to cluster efficient students among the students of the educational institution to predict placement chance. Data mining approach used is clustering. Ablend of heuristic and K-means algorithm is employed to cluster students based on KSA (knowledge, Communication skill and attitude). To assess the performance of the program, a student data set from an institution in Bangalore were collected for the study as a synthetic knowledge. A model is proposed to obtain the result. The accuracy of the results obtained from the proposed algorithm was found to be promising when compared to other clustering algorithms.

Keywords :
Educational data mining, clustering, efficient student, heuristic, K-means, KSA concept

Publication Details:

Unique Identification Number : IJTSRD18882

Published In : Volume-2 | Issue-6, October 2018

Page Number(s) : 1401-1406

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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