Discovering Frequent Patterns Mining Procedures

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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.
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