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Hypothetico-deductive data mining

✍ Scribed by McSherry, David


Publisher
John Wiley and Sons
Year
1997
Tongue
English
Weight
78 KB
Volume
13
Category
Article
ISSN
8755-0024

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✦ Synopsis


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.


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