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Two data mining algorithms, Apriori and FPgrowth are available. Apriori accepts only nominal data types while FPgrowth only accepts binominal data types. Thus, we need

Two data mining algorithms, Apriori and FPgrowth are available.

Apriori accepts only nominal data types while FPgrowth only accepts binominal data types. Thus, we need to change numeric values to nominal for Apriori and to binominal for FPgrowth by discretizing these values first.

1- Apply both algorithms on the weather-nominal dataset (will be done in the lab.).-

2- Apply both algorithms on the Iris dataset (HW).

3- Change the algorithms parameters and comment on the results.

4- Create another rapidminer process that uses decision tree to classify the golf dataset.

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