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.
Because the inner characteristics that constitute an individual's personality are a unique combination of factors, no two individuals are exactly alike. Nevertheless, many individuals tend to be similar in terms of a single personality characteristic. For instance, many people can be described as
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