MULTILEVEL CONTENT MINING MODEL FOR LARGE SCALE WEBSITES
Keywords:
MODEL FOR LARGE SCALE WEBSITESAbstract
As per the current usage of WWW, the data available over the Websites is also growing at a large scale. Hence, efficient Web data extraction has become a great challenge for large scale Websites. The main requirement of a user from such types of Websites is to extract the accurate data in desirable amount of time. This research work provides a Web content extraction model for extracting content from large scale Websites. The System Model (MCMM-LSW) produces a link tree of Website and extracts content based on the seed page extracted from different levels of link tree. The results produce higher recall, precision and overall accuracy (F-measure) than the approach used in the literature i.e. 2-level approach.. The effect of applying MCMM-LSW on changing the number of levels of the Websites is shown in the results. Finally the comparison of keyword based extraction and MCMM- LSW is also shown. `
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