Introduces the GUHA method of mechanizing hypothesis formation as a
data mining tool. Presents examples of data mining with enhanced
association rules, histograms, contingency tables and action rules.
Provides examples of data mining for exception rules and examples
of subgroups discovery. Outlines possibilities of GUHA in business
intelligence and big data. Overviews related theoretical results
and challenges related to mechanizing hypothesis formation.
General
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