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
• DOI: 10.1002/(sici)1099-0747(199709/12)13:3/4<415::aid-asm336>3.0.co;2-2

✦ 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.