Dr. C.Gomathi
Frequent path analysis discovers frequent path from web logs. An important application of Data Mining is Web usage mining for finding frequent path from web log accesses. Apriori like pattern mining technique requires expensive multiple scans of database. So now a days, Bpriori based algorithm is used. It is faster than traditional pattern mining techniques. In this, Kongu Arts and Science College (KASC) and KSR College of Engineering (KSRCE) web log files are taken after preprocessing for frequent path analysis. Here, an efficient Advance Frequent Path Technique (AFPT) has been proposed. This proposed algorithm modify the traditional approach for improving efficiency, especially when the support threshold becomes smaller and size of the database gets larger. The proposed algorithm totally eliminates the storage cost during mining and considerably reduces the execution time. The results of experiments show the efficiency of the improved algorithm. The proposed algorithm is used to improve the design of web sites, analyzing the student’s behaviors and developing web sites according to different usage scenarios.
AFPT