Association rule mining is a data mining task that discovers relationships among items in a transactional database. and Association rule analysis is the task of discovering association rules that occur frequently in a given data set.
the question like: what items a customer id "not likey" to buy giiven that he buys a certain set of items. We call these types of rules as the negative association rules.
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Positive correlation = positive association Negative correlation = negative association
Strength and direction of linear relation. Closer to 1 is positive linear association, closer to -1 is positive negative association and closer to 0 means no linear relation. Remember that 0 does not mean that there is no relation - just no linear relation.
Yes, a median can be a negative number.
IN statistics yes there is a negative mean. Mean is the average of multiple numbers. Negative is opposite of positive.
Of course it is! If the mean of a set of data is negative, then the coefficient of variation will be negative.