Mining association rules from transactional data will provide us with valuable information about co-occurrences and co-purchases of products. Such information can be used as a basis for decisions about marketing activity such as promotional support, inventory control and cross-sale campaigns. To find ...
Clustering of web users according to their location using clustering is done and then each cluster is mined using FP- Growth algorithm to find the association rules and predict the pages to be pre- fetched for storing in cache. HMM is used to focus on the hidden stages of web log ...