An Efficient Concept Based Mining Model for Web Page Clustering

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Provided by: International Journal of Engineering Trends and Technology
Topic: Data Management
Format: PDF
Effective representation of web search results remains an open problem in the information retrieval. These problems can be resolved by concept based mining model using modified agglomerative hierarchical clustering algorithm. The proposed mining model consists of sentence-based concept analysis, document-based concept analysis, and concept-based similarity measure. This model can efficiently find out significant matching concepts between documents according to semantics of their sentences. The aim behind the concept-based analysis is to achieve an accurate analysis of concepts on the sentence, document and corpus levels rather than single term analysis on the document only.
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