Question

explain the working of constrained based assosiation mining using example​

Answer 1

Answer:

1. knowledge type constrains the specify the type of knowledge to be mined such as association or correlation
2. data constraints the specify set of task relevant data
3. dimension level constraints these specify the desired dimensions or tributes of the data or levels of the concept higher rachis to be used in mining
4. intercepting constraints the specific thresholds on statistical measures of role interestingness such a support confidence and correlation
5. rule constraints please specify the form of rules to be mined such constraints may be expressed as metal rules rule templates has the maximum or minimum number of predicates that can occur in the rule and dissident or consecutive or as relationships among attributes attribute values and or aggregates