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Using Data Mining Strategy in Qualitative Research

  • Nadhirah Rasid
  • Puteri N. E. Nohuddin
  • Hamidah Alias
  • Irna Hamzah
  • A. Imran Nordin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10645)

Abstract

Analyzing qualitative data can be tedious if it is done manually. There are several techniques available to conduct qualitative research such as thematic analysis, grounded theory and content analysis amongst other techniques. The data collected from these techniques are usually huge in amount. Little has been done to apply data mining strategy to analyzes data gathered using qualitative methodology. In this paper, we present a work done to apply text mining technique to analyzes data gathered from interviews – unstructured data. The aim of this study is to develop patterns of pediatric cancer patient’s activities in the ward. The result shows a pattern that suggests patients are mostly playing video games while receiving treatment and when they feel bored in the ward. This proposes that data mining techniques can be used to provide an initial insight of the information gathered qualitatively.

Keywords

Experience mining Text mining Pediatric Cancer Interview 

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Nadhirah Rasid
    • 1
  • Puteri N. E. Nohuddin
    • 1
  • Hamidah Alias
    • 2
  • Irna Hamzah
    • 1
  • A. Imran Nordin
    • 1
  1. 1.Institute of Visual InformaticsUniversiti Kebangsaan MalaysiaBangiMalaysia
  2. 2.Department of Pediatrics, Faculty of MedicineUniversiti Kebangsaan MalaysiaKuala LumpurMalaysia

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