Analysis of Weblogs using Clustering and Optimization Method
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2018 by IJETT Journal|
|Year of Publication : 2018|
|Authors : Anandhajothi nalini.R, Jayakumar.D
|DOI : 10.14445/22315381/IJETT-V59P239|
Anandhajothi nalini.R, Jayakumar.D"Analysis of Weblogs using Clustering and Optimization Method", International Journal of Engineering Trends and Technology (IJETT), V59(4),208-210 May 2018. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Today every single space have more effect in web. Without web and its applications there is no hope. In web, the bulk of data that are arriving, keeping that data and reclaiming is colossal. As log documents over the web are outsized, capacity turns into an utmost wherein compelling procedures, for example, virtual database end up being inadequate for the same.Web mining which compacts with the pulling out of stimulating data from web log information generated by web servers. Web usage mining can be practiced for web log analysis. Web access data, conventionally, are deposited in the server log files. In this paper, the web log analysis system using Modified K-means algorithm for clustering and Firefly optimization algorithm. Clustering is done by using Modified K-means algorithm, and Firefly technique is cast-off to enhance the web log data. The enricheddata is attainedvia firefly algorithm.
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Web Usage Data, Modified K-Means, Data Clustering, Firefly Optimization Algorithm