Download PDF by Soumen Chakrabarti, et al: Data mining : know it all

By Soumen Chakrabarti, et al

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If several descriptions are left, they may still be used to classify unknown objects. An unknown object that matches all remaining descriptions should be classified as matching the target; if it fails to match any description, it should be classified as being outside the target concept. Only when it matches some descriptions, but not others, is there ambiguity. 5 Generalization as Search 29 unknown object were revealed, it would cause the set of remaining descriptions to shrink because rule sets that classified the object the wrong way would be rejected.

48 500 . 3 400 . 5 ROLLUP WITH SUMS, AVERAGES, AND COUNTS In addition to finding the sum of a value variable during the rollup, it may also be more meaningful sometimes to calculate average value or the number of records that represent certain events—for example, number of deposits, number of withdrawals, or number of mailings a customer received responding to an offer. In our rollup macro, these requirements would alter only the middle part of our code, where we calculated the cumulative value of the Value variable.

The labor negotiations data is from the Collective Bargaining Review, a publication of Labour Canada issued by the Industrial Relations Information Service (BLI 1988), and the soybean problem was first described by Michalski and Chilausky (1980). 7 Resources 35 & Simon 1995); another source of fielded applications is a special issue of the Machine Learning Journal (Kohavi & Provost 1998). The loan company application is described in more detail by Michie (1989), the oil slick detector is from Kubat et al.

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