Papers by Ashish Kumar Maurya
Proceedings of Elsevier Second International Conference on Emerging Research in Computing, Information, Communication and Application (ERCICA-2014)
Nowadays the World Wide Web (commonly called as Web) is used widely and it has impacted on almost... more Nowadays the World Wide Web (commonly called as Web) is used widely and it has impacted on almost every facet of our lives. To search and retrieve the information from the web requires an effective and efficient technique as it has become a challenge due to expanding size and complexity of web. Web Mining tackles this problem by gathering useful information from web by using its three categories web structure mining, web content mining and web usage mining. In this paper discussion is done by explaining the area of WebMining, its categories and algorithms associated with it. The algorithms discussed are PageRank, SimRank, TF-IDF, k- nearest neighbour, PageGather and CDL4. Then we summarize the algorithms over parameters such as its working, input parameters, complexity and their pros and cons. Also we analyze discussed algorithms over the parameters: relevance, their technique and regression analysis.
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Papers by Ashish Kumar Maurya