Data Mining 2

I'm working on a project that requires data mining. take the traffic violation data set from here: [login to view URL] and figure out how to import it and use the ItemSets/Assocation Rules node to find frequent items sets in the crime data - for example, we could use this to determine if there appears to be discrimination for #2 in section 2.1 of the project proposal "Number of traffic violations issued to a driver of a certain race and gender that did not involve an accident, driving under the influence, where only a warning is issued or other circumstance that can legitimize the traffic stop and reduce the chance that the stop was biased based upon race/gender." If there is a frequent itemset where the race is "Hispanic" and violation type is "Citation", then perhaps Hispanics are more likely to be issued citations. You could also use one of the other node functions to calculate the correlation coefficient to see if Hispanic and issued Citation are highly positively correlated. In addition, there is the extension for Knime that helps you view Association Rules (the "Knime Rule Viewer" that I had you install). Please figure out how to use this functionality as well. When you complete these tasks, please export your workflow from Knime (File -> Export Knime Workflow)