Database Reference
In-Depth Information
If you would like, you may return to design perspective and experiment. If you click on
the FP-Growth operator, you can modify the
min support
value. Note that while support
percent is the metric calculated and displayed by the Create Association Rules operator, the
min support
parameter in the FP-Growth actually calls for a confidence level. The default of
.95 is very common in much data analysis, but you may want to lower it a bit and re-run
your model to see what happens. Lowering
min support
to .5 does yield additional rules,
including some with more than two attributes in the association rules. As you experiment
you can see that a data miner might need to go back and forth a number of times between
modeling and evaluating before moving on to…
DEPLOYMENT
We have been able to help Roger with his question. Do existing linkages between types of
community groups exist? Yes, they do. We have found that the community's churches, family,
and hobby organizations have some common members. It may be a bit surprising that the political
and professional groups do not appear to be interconnected, but these groups may also be more
specialized (e.g. a local chapter of the bar association) and thus may not have tremendous cross-
organizational appeal or need. It seems that Roger will have the most luck finding groups that will
collaborate on projects around town by engaging churches, hobbyists and family-related
organizations. Using his contacts among local pastors and other clergy, he might ask for
volunteers from their congregations to spearhead projects to clean up city parks used for youth
sports (family organization association rule) or to improve a local biking trail (hobby organization
association rule).
CHAPTER SUMMARY
This chapter's fictional scenario with Roger's desire to use community groups to improve his city
has shown how association rule data mining can identify linkages in data that can have a practical
application. In addition to learning about the process of creating association rule models in
RapidMiner, we introduced a new operator that enabled us to change attributes' data types. We
also used CRISP-DM's cyclical nature to understand that sometimes data mining involves some
back and forth 'digging' before moving on to the next step. You learned how support and
