A survey on mining frequent patterns in data mining

Frequent pattern mining is a process of mining data as a set of itemsets or patterns from a transactional database which support the minimum support threshold. A frequent pattern is a pattern (ie. a set of items, substructures, subsequences etc.) that occurs frequently in a dataset. Association rule mining is a process of mining data as a set of rules from a transactional database which support the minimum support and confidence. The implementation methods uses special data structures to solve the problem of FPM and ARM. This paper presents some of the data structures for FPM with their advantages and disadvantages.