Frequent Pattern Mining for Microarray Data

Frequent Pattern Mining (FPM) represents a very recent field of data mining and an evolutionary technique to ARM. Recalling an example from ARM, frequent pattern is simply a set {A, C} with no implication and is therefore only categorised by the support, which is basically the number of joint occurrences of all elements in the set. Although it may seem as a downgrade in information that it represents, frequent patterns represent a huge upgrade in efficiency of mining and compactness of its representation, while maintaining all the required information to derive association rules on request. Moreover, a compact version called frequent closed patterns exists that represents all relationships between items in a very condensed and lossless form which imply that, if successful, all relationships from the microarray data may be mined with the ability to later derive association rules from them.