Mining association rules between sets of items in large databases
We are given a large database of customer transactions. Each transaction consists of items purchased by a customer in a visit. We present an efficient algorithm that generates a...
We are given a large database of customer transactions. Each transaction consists of items purchased by a customer in a visit. We present an efficient algorithm that generates a...
The authors' perspective of database mining as the confluence of machine learning techniques and the performance emphasis of database technology is presented. Three classes of d...
We are given a large population database that contains information about population instances. The population is known to comprise of m groups, but the population instances are ...
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