Educational Web Mining using Weka

Authors :V S Kumbhar; K S Oza

doi:https://doi.org/10.14445/22315381/IJETT-V26P222

Research Article | Open Access | Download PDF

Volume 26 | Number 1 | Year 2015 | Article Id. IJETT-V26P222 | DOI : https://doi.org/10.14445/22315381/IJETT-V26P222

Educational Web Mining using Weka

Authors :V S Kumbhar, K S Oza

Citation :

Authors :V S Kumbhar, K S Oza, "Educational Web Mining using Weka," International Journal of Engineering Trends and Technology (IJETT), vol. 26, no. 1, pp. 128-13, 2015. Crossref, https://doi.org/10.14445/22315381/IJETT-V26P222

Abstract

In this digital era almost every domain is overloaded with voluminous data. This voluminous data need to be processed to get some interesting patterns. Proposed work deals with education domain. Here educational websites data is collected for analysis using site analyzer tool. Analysis is focused on search engine compatibility of websites. There are many parameters related to search engine optimability but proposed work deals only with website accessibility parameter. An open source data mining tool Weka is used to cluster and then classify the data. Class labels are identified as best, good and average depending on website user friendliness.

Keywords

educational websites, site analyzer, search engine, Weka.

References

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