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

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

16th Industrial Conference on Data Mining (ICDM), New-York, Amerika Birleşik Devletleri, 13 - 17 Temmuz 2016, cilt.9728, ss.96-109 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 9728
  • Doi Numarası: 10.1007/978-3-319-41561-1_8
  • Basıldığı Şehir: New-York
  • Basıldığı Ülke: Amerika Birleşik Devletleri
  • Sayfa Sayıları: ss.96-109
  • Galatasaray Üniversitesi Adresli: Evet

Özet

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.