Implementation on Web Log File Mining Model Based on Apriori Algorithm

In order to identify the navigational patterns of web site visitors,Apriori algorithm is used to mine the user session file that has been generated after the data pre-processing process on the Web log file.It is desirable to interactively investigate web access data and patterns,to allow ad-hoc to discover and examine patterns which are not known.The association mining model can be used to generate the frequent itemsets that satisfy the minimum support threshold and strong association rules between selected pages that satisfy the both minimum confidence and minimum support thresholds.The association mining results have many guidelining roles for Web master to rearrange the web structure,provide recommendation service by predicting the web users navigational behaviour and improve the users web access efficiency and web resource utilization rate.