Association rule mining
The dataset provided contains the invariants in the form of antecedent and consequent mined using Association Rule Mining with implicit measures such as Confidence, Support, Lift, etc. from an EPIC Plant (Electrical Power and Intelligent Control System).
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This is a dataset that contains 50,000 transactions and 13 features/columns, the data set is used to perform market basket analysis in association rule mining.
A random function was used during the generation and the function generates random numbers of 0's and 1's for all 13 features of each transaction.
The probability of generating a 1 is twice as high as 0, this way there will be a strong or almost-strong association between the features.
1 means an item was purchased by the user and 0 means the item was not purchased.
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