Educational Web Mining using Weka
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International Journal of Engineering Trends and Technology (IJETT) | 
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| © 2015 by IJETT Journal | ||
| Volume-26 Number-3 |
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| Year of Publication : 2015 | ||
| Authors : V S Kumbhar, K S Oza |
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| DOI : 10.14445/22315381/IJETT-V26P222 |
Citation
V S Kumbhar, K S Oza"Educational Web Mining using Weka", International Journal of Engineering Trends and Technology (IJETT), V26(3),128-131 August 2015. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
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.
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Keywords
educational websites, site analyzer,
search engine, Weka.