Computer Science – Databases
Scientific paper
2010-02-05
International Journal of Computer Science Issues, IJCSI, Vol. 7, Issue 1, No. 3, January 2010, http://ijcsi.org/articles/Sig
Computer Science
Databases
International Journal of Computer Science Issues, IJCSI, Vol. 7, Issue 1, No. 3, January 2010, http://ijcsi.org/articles/Sig
Scientific paper
There is a considerable body of work on sequence mining of Web Log Data. We are using One Pass frequent Episode discovery (or FED) algorithm, takes a different approach than the traditional apriori class of pattern detection algorithms. In this approach significant intervals for each Website are computed first (independently) and these interval used for detecting frequent patterns/Episode and then the Analysis is performed on Significant Intervals and frequent patterns That can be used to forecast the user's behavior using previous trends and this can be also used for advertising purpose. This type of applications predicts the Website interest. In this approach, time-series data are folded over a periodicity (day, week, etc.) Which are used to form the Interval? Significant intervals are discovered from these time points that satisfy the criteria of minimum confidence and maximum interval length specified by the user.
Saxena Kanak
Shukla Rahul
No associations
LandOfFree
Significant Interval and Frequent Pattern Discovery in Web Log Data does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Significant Interval and Frequent Pattern Discovery in Web Log Data, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Significant Interval and Frequent Pattern Discovery in Web Log Data will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-535576