Hypothetico‐deductive data mining

David McSherry

Applied Stochastic Models and Data Analysis, 1997, vol. 13, issue 3‐4, 415-422

Abstract: An algorithm for rule discovery in databases is described which is based on the reasoning strategies of human diagnosticians. It differs from other algorithms in its hypothesis‐driven approach and primarily qualitative assessment of rule interest. Upper and lower bounds are established for the value of a quantitative measure used in the algorithm to rank rules of equal qualitative interest. An example based on consumer choices is used to illustrate the rule discovery process. © 1998 John Wiley & Sons, Ltd.

Date: 1997
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https://doi.org/10.1002/(SICI)1099-0747(199709/12)13:3/43.0.CO;2-2

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Persistent link: https://EconPapers.repec.org/RePEc:wly:apsmda:v:13:y:1997:i:3-4:p:415-422

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