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Assessment and Validating the Quality of Educational Web Sites using Subtractive Clustering

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 98 - Number 4
Year of Publication: 2014
Authors:
Ramin Afshoon
Ali Harounabadi
Javad Mir Abedini
10.5120/17175-7264

Ramin Afshoon, Ali Harounabadi and Javad Mir Abedini. Article: Assessment and Validating the Quality of Educational Web Sites using Subtractive Clustering. International Journal of Computer Applications 98(4):42-47, July 2014. Full text available. BibTeX

@article{key:article,
	author = {Ramin Afshoon and Ali Harounabadi and Javad Mir Abedini},
	title = {Article: Assessment and Validating the Quality of Educational Web Sites using Subtractive Clustering},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {98},
	number = {4},
	pages = {42-47},
	month = {July},
	note = {Full text available}
}

Abstract

Researchers have studied qualitative and quantitative methods to assess the quality of website. Previous studies had determined criteria such as quality of service. Human behavior, namely the objective perspective, is the essential source to obtain human thinking and real doings. For this reason, data mining approaches are used to acquire the objective source. In this research, proposed subtractive clustering is applied in evaluating educational web sites from the fuzzy objective perspective. An empirical study is carried out to validate the model capability. Results indicate that in the recommended algorithm are closer to the real data.

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