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.
Six Sigma: Six Sigma at numerous associations simply means a measure of quality which strives for close perfection. Six Sigma is a disciplined, data-driven approach and method for removing defects (that is, driving toward six standard deviations among
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