Analysis of Web Log Server Files of E-Commerce Websites to Study Customer Behavior Pattern
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 4
Abstract
web usage mining refers to the automatic discovery and analysis of patterns in click stream and related data collected or generated as a result of user interactions with web resources on one or more websites. It consists of three phases which are data preprocessing, pattern discovery and pattern analysis. Data preprocessing involves removal of unnecessary data. In the pattern discovery phase, frequent pattern discovery algorithms are applied on raw data. In the pattern analysis phase, interesting knowledge is extracted from frequent patterns and these results are used for website modification. With the exceptional growth of available information online, especially with the increase in popularity of electronic commerce, web data mining is being paid much attention. In this paper, we propose combining of web data mining and e-commerce with the help of linear regression algorithm for obtaining frequent access patterns from the web log data and providing valuable information about the user’s interest.
Authors and Affiliations
Sauhard Nandan Chaurasia, Parth Sharma, Asst. Prof. Mr. Vivek Jain
Keywords
Related Articles
- EP ID EP23955
- DOI http://doi.org/10.22214/ijraset.2017.4249
- Views 259
- Downloads 9
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