Max-Min Ant System Based Web Crawler
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 6
Abstract
A focused crawler is Web crawler that traverses the Web to explore information that is related to a particular topic of interest only. This study, aims to find the Indian academicians webpages from foreign universities websites by selecting the features of webpage and determine its relevance on an unknown dataset. Therefore, a feature selection algorithm based on MaxMin Ant System (MMAS) is presented to improve the accuracy of focused crawler and classification process. The weights to features are assigned using cosine similarity to determine the relevancy of webpages. MMAS finds the best solution and select best fitted URLs from a large pool of URLs. The performance of the proposed methodology classification result is compared with manual classification result for Lancaster University, Stanford University and Harvard University dataset. The performance of the proposed methodology is measured using recall parameter.
Authors and Affiliations
Komal Upadhyay, Er. Suveg Moudgil
Keywords
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