Detecting Interesting Differences: Data Mining in Health Insurance Data using Outlier Detection and Subgroup Discovery

R.M. Konijn

Research output: PhD ThesisPhD Thesis - Research VU, graduation VUAcademic

Original languageEnglish
QualificationPhD
Awarding Institution
  • Vrije Universiteit Amsterdam
Supervisors/Advisors
  • Kok, J.N., Supervisor, External person
  • Koole, Ger, Supervisor
  • Knobbe, A.J., Co-supervisor, External person
  • Kowalczyk, W.J., Co-supervisor
Award date28 Feb 2017
Publication statusPublished - 2017

Keywords

  • data mining
  • outlier detection
  • subgroup discovery
  • health insurance

Cite this

@phdthesis{c02ae8c93fe84a00a0f84e4d85cac2e2,
title = "Detecting Interesting Differences: Data Mining in Health Insurance Data using Outlier Detection and Subgroup Discovery",
keywords = "data mining, outlier detection, subgroup discovery, health insurance",
author = "R.M. Konijn",
year = "2017",
language = "English",
school = "Vrije Universiteit Amsterdam",

}

Detecting Interesting Differences : Data Mining in Health Insurance Data using Outlier Detection and Subgroup Discovery. / Konijn, R.M.

2017. 212 p.

Research output: PhD ThesisPhD Thesis - Research VU, graduation VUAcademic

TY - THES

T1 - Detecting Interesting Differences

T2 - Data Mining in Health Insurance Data using Outlier Detection and Subgroup Discovery

AU - Konijn, R.M.

PY - 2017

Y1 - 2017

KW - data mining

KW - outlier detection

KW - subgroup discovery

KW - health insurance

M3 - PhD Thesis - Research VU, graduation VU

ER -