DOMAIN SPECIFIC APPROACH FOR WEBLOG MINING
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 5, Issue 3
Abstract
Web mining is the application of data mining, chart technology, artificial intelligence and so on to the web data and identifies user’s visiting behaviors and extracts their interests using patterns. It extract the behavior of users which is used in variety of applications like pre fetching, creating attractive web sites, personalized services, adaptive web sites, customer profiling, etc. The Common log formats or Extended Log Formats only records the visitors browsing activities rather than the details of the visitor’s identity. A session is a sequence of activities made by one user during one visit to the site.There is a method in which is based on total session time and another method is based on single page stay time. The records with failed status code are also eradicated from logs. The changes in technology has made it possible to capture the users essence and interaction with the web. Due to large amount of incorrect information in the web log, the original log file cannot be directly used .
Authors and Affiliations
Kalyani Deotale*
Keywords
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- EP ID EP143709
- DOI 10.5281/zenodo.47563
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