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.
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.
Positive correlation = positive association Negative correlation = negative association
Negative association.
Context language consists of words that create positive or negative associations
Euphemism
Between -1 and 0.
A word or phrase that has a negative or disliked association connected to it, most commonly due to social use or misconceptions of a word or it's meaning.
Dysphemism
incorrect
positivity makes you likeable and people are more likely to be interested in being near you. If you are negative people will stay away from you. It's basic psychological association.
Certainly. It could, for example, be a power relationship such as y = x^3
Grasshoppers represent truth, agility and honesty. The death of a grasshopper symbolizes the loss of these important virtues which has a negative association.
Judas has a negative association. I would avoid it. Otherwise, he may grow up to hate his name and you.