Detecting case families with anomalous frequencies in rule-based decision policies

An electronic computing device for analyzing rule-based decision policies, comprising:

• a processor;
• a memory coupled to the processor, the memory containing instructions, that when executed by the processor, perform the steps of:
• obtaining data for a plurality of events;
• obtaining a rule set for the plurality of events, wherein the rule set comprises a plurality of rules;
• computing frequency data for the plurality of events based on the rule set;
• determining a frequency density range for the plurality of events based on the frequency data;
• computing regions based on the rules within the rule set, wherein each region corresponds to a subset of the plurality of events;
• providing a recommendation of one or more rule modifications based on the frequency data;
• and
• rendering the recommendation on a computer display.

A computer program product for analyzing rule-based decision policies on an electronic computing device, the electronic computing device comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the electronic computing device to:

• obtain data for a plurality of events;
• obtain a rule set for the plurality of events, wherein the rule set comprises a plurality of rules;
• compute frequency data for the plurality of events based on the rule set;
• determine a frequency density range for the plurality of events based on the frequency data;
• compute regions based on the rules within the rule set, wherein each region corresponds to a subset of the plurality of events;
• provide a recommendation of one or more rule modifications based on the frequency data;
• and
• render the recommendation on a computer display.