Enhanced SS-FIM Algorithm For High Utility Uncertain Itemsets

In transactional databases, mining frequently occurring item sets. It’s a brand-new, very accurate single-scan method for mining frequently used item sets. Frequent patterns are a pattern that comes frequently in a dataset that show an important part in mining connections, correlations, and further stimulating data interactions that lead to discovering knowledge and supporting several commercial decision-making processes. In information discovery and decision-making procedures, data mining is a vital operational tool. In data mining method, frequent pattern mining approaches have become important for big datasets. This paper discusses a technique for mining frequent item sets that is both efficient and scalable in transactional dataset over simply one time scanning entire transactional dataset.