XML web quality analysis by employing MFCM clustering technique and KNN classification
by M. Gopianand; P. Jaganathan
International Journal of Business Intelligence and Data Mining (IJBIDM), Vol. 17, No. 1, 2020

Abstract: The great accomplishment of web search engine is keyword search which is the most trendy search representation for regular consumers. It is permits that the consumer can create the queries without the knowledge of query language and the database schema. So, it is also considered as a user friendly method. The quality of XML web has to be accurate if the exact queries have to be answered. Here we have proposed a method to access the quality of the XML web by analysing the keyword present in the XML web based on the respective keyword search. In our proposed method we collect number of XML documents and are clustered based on the keyword depending on the type of XML files. Modified fuzzy C means (MFCM) is used for clustering. Once the clustering based on the respective keyword is done, we classify the XML web based on quality of the data by utilising KNN classifier.

Online publication date: Thu, 02-Jul-2020

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