An Interval Classifier for Database Mining Applications

  title={An Interval Classifier for Database Mining Applications},
  author={Rakesh Agrawal and Sakti P. Ghosh and Tomasz Imielinski and Balakrishna R. Iyer and Arun N. Swami},
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 not labeled with the group identi cation. Also given is a population sample (much smaller than the population but representative of it) in which the group labels of the instances are known. We present an interval classi er (IC) which generates a classi cation function for each group that can be used to e ciently retrieve… CONTINUE READING
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