Mining Frequent Itemsets in Transactional Database

Provided by: International Journal of Emerging Technology and Advanced Engineering (IJETAE)
Topic: Data Management
Format: PDF
Data mining refers to discovering knowledge in huge amounts of data. The idea is to seek for something called knowledge, which means regularities, rule and structure hidden in the data. Association rule mining is one of the most important data mining problems. In transactional database it depicts the purchase patterns and reflects items that are frequently associated or purchased together. The mining of association rule include two sub problems finding all frequent itemsets that appear more often than a minimum support threshold, and generate association rules using these frequent itemsets.

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