Data Mining on Divers Alert Network DSL Database: Classification of Divers

ÖZYİĞİT T., Yavuz C., Pieri M., EGİ S. M., Egi B., Altepe C., ...More

16th Industrial Conference on Data Mining (ICDM), New-York, United States Of America, 13 - 17 July 2016, vol.9728, pp.96-109 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 9728
  • Doi Number: 10.1007/978-3-319-41561-1_8
  • City: New-York
  • Country: United States Of America
  • Page Numbers: pp.96-109
  • Galatasaray University Affiliated: Yes

Abstract

Divers Alert Network (DAN) created a database (DB) with a big amount of dive related data which has been collected since 1994 within the scope of Dive Safety Laboratory (DSL) project. The aim of this study is to analyze the DB using data mining techniques. The clustering of divers by their health and demographic information and reveal significant differences in diver groups are the main objectives of this study.