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What are association rules

What are association rules and explain their utilization in exploratory data mining.

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Association rules states the likelihood of co-occurrence of events or features in records in a database (example: when a patient has characteristics A and B, he or she has an 80 percentage chance of containing characteristic C). Data-mining software can automatically recognize associations in big data sets. Though many associations are trivial, some point out causative or "common cause" relationships. Changing associations over time might also give helpful information.

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