An application of Apriori algorithm on a diabetic database


Duru N.

KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS, vol.3681, pp.398-404, 2005 (Journal Indexed in SCI) identifier

  • Publication Type: Article / Article
  • Volume: 3681
  • Publication Date: 2005
  • Title of Journal : KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS
  • Page Numbers: pp.398-404

Abstract

In recent days, mining information from large databases has been recognized by many researchers and many data mining techniques and systems have been developed. In this study, a software (DMAP), which uses Apriori algorithm, was developed. Apriori is an influential algorithm that used in data mining. The name of the algorithm is based on the fact that the algorithm uses prior knowledge of frequent item set properties. The software is used for discovering the social status of the diabetics. A diabetic database that belongs to faculty of medicine of Kocaeli University has been used. The software was executed on a database which has records of 66 patients for test purpose. In the literature, diabetic databases have been often analyzed by rough sets. In this paper, Apriori algorithm, which has been usually used for the market basket analysis, was used for analyzing a diabetic database.