Discovering Frequent Patterns Mining Procedures

Provided by: International Journal of Science and Modern Engineering (IJISME)
Topic: Data Management
Format: PDF
Data mining also known as Knowledge Discovery and Database (KDD) has been perceived as a new research is for database research. The aim of data mining is to automate the process of finding interesting patterns and trends from a given data. Discovering of association rules is an important data mining task. A procedure so called mining frequent itemsets is a core step of association rules discovering introduce in. Past transaction analysis is a commonly used approach in order to improve the quality of such decision. As pointed in, the progress in bar-code technology has made it possible for retail organizations to collect the store massive amount of sales data so called Basket data that stores item purchased per transaction basis.

Find By Topic