Association Rule Mining with enhancing List Level Storage for Web Logs: A Survey
Prashant Sharma
Abstract
Storing and calculating web page rank is a crucial research area. There are also several researches are going on but the need of betterment it still there because of the following reasons: 1) Impact should be calculated cumulative it is not based on the single page rank 2) Automatic rank identification 3) Way of storage. So our study mainly focuses on the above three directions. Our study analyzes several related researches in these directions to find the useful techniques and remove the drawback from the traditional techniques. Based on our observation we will also suggest some future suggestion which will be incorporated for better weigh estimation process for web logs.
Keyword
Automatic Rank Identification, Association Rule Mining, List storage, Page Impact.