Performance Based Frequent Itemset Mining Techniques for Data Mining

Data mining tasks that try to find interesting patterns from databases, such as association rules, correlations, sequences, episodes, classifiers, clusters and many more of which the mining of association rules is one of the most popular problems. There is a large body of research on Frequent Itemset Mining (FIM) but very little work addresses FIM in uncertain databases. Most studies on frequent itemset mining focus on mining precise data. However, there are situations in which the data are uncertain. This leads to the mining of uncertain data. There are also situations in which users are only interested in frequent itemsets that satisfy user-specified aggregate constraints.

Provided by: International Journal of Engineering and Advanced Technology (IJEAT) Topic: Big Data Date Added: Jun 2012 Format: PDF

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