An Empirical comparison of rule based classification techniques in medical databases

R.P. Datta () and Sanjib Saha
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R.P. Datta: Indian Institute of Foreign Trade, Kolkata, India
Sanjib Saha: Tata Consultancy Services, TCS New Building,Sector 5,Kolkata, India

No 1107, Working Papers from Indian Institute of Foreign Trade

Abstract: Classification techniques have been widely applied in the field of medical databases and have gained a lot of success. At present various classification algorithms are available in the literature and the problem of choosing the best method for a particular data set is faced by many researchers. In this paper, we apply five well-known rule based classification techniques, Decision Tree, JRIP, NNGE, PART and RIDOR, on different medical databases and compare their relative merits & demerits. Subsequently, we interpret their applicability to segment patients into groups.

Keywords: classification; datamining; knowledge discovery; and rule based classification (search for similar items in EconPapers)
JEL-codes: M10 (search for similar items in EconPapers)
Pages: 18 pages
Date: 2011-08
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