Easy understanding for mining discriminant itemset with emerging patterns

This paper will give basic knowledge understanding how to discriminate between two datasets with Emerging Patterns (Eps) upon famous weather dataset. This paper didn't use previous data mining techniques such as border-based algorithm or so on, but only to give the systematic basic knowledge understanding to discriminate between two datasets by finding score of support, growthrate and confidence. The discrimination will give example to differ between two datasets with itemset/pattern which consist one attribute/dimension or multidimensional attributes and of course by finding Jumping EPs (JEPs) as strong discrimination with proofing of their finding growthrate with confidence score. The finding discrimination shows as uninterested or interested discrimination when having confidence below or greater than 50%. These discrimination results can be used for classification purposes as well.