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The Data Pattern Analysis Activity is an exploration tool that analyses data sets for different combinations of values that are of interest to the logic in the system. These combinations are useful for understanding your data, when choosing algorithms, setting up databases, and much more.
Our Data Pattern Analysis Activity uses Apriori machine learning to discover relationships inside of your data sets. The scan will look for potential relationships between data states to see which combinations should occur together, or should not occur together. The probability analysis can then be used to validate as well as generate synthetic combinations of data.