Using data mining strategy in qualitative research

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationAdvances in Visual Informatics - 5th International Visual Informatics Conference, IVIC 2017, Proceedings
PublisherSpringer Verlag
Pages100-111
Number of pages12
Volume10645 LNCS
ISBN (Print)9783319700090
DOIs
Publication statusPublished - 1 Jan 2017
Event5th International Visual Informatics Conference, IVIC 2017 - Bangi, Malaysia
Duration: 28 Nov 201730 Nov 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10645 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Visual Informatics Conference, IVIC 2017
CountryMalaysia
CityBangi
Period28/11/1730/11/17

Fingerprint

Qualitative Research
Data mining
Data Mining
Pediatrics
Video Games
Content Analysis
Text Mining
Cancer
Strategy
Methodology

Keywords

  • Cancer
  • Experience mining
  • Interview
  • Pediatric
  • Text mining

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Rasid, N., Puteri Nor Ellyza, N., Alias, H., Hamzah, I., & Aliimran, N. (2017). Using data mining strategy in qualitative research. In Advances in Visual Informatics - 5th International Visual Informatics Conference, IVIC 2017, Proceedings (Vol. 10645 LNCS, pp. 100-111). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10645 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-70010-6_10

Using data mining strategy in qualitative research. / Rasid, Nadhirah; Puteri Nor Ellyza, Nohuddin; Alias, Hamidah; Hamzah, Irna; Aliimran, Nordin.

Advances in Visual Informatics - 5th International Visual Informatics Conference, IVIC 2017, Proceedings. Vol. 10645 LNCS Springer Verlag, 2017. p. 100-111 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10645 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Rasid, N, Puteri Nor Ellyza, N, Alias, H, Hamzah, I & Aliimran, N 2017, Using data mining strategy in qualitative research. in Advances in Visual Informatics - 5th International Visual Informatics Conference, IVIC 2017, Proceedings. vol. 10645 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10645 LNCS, Springer Verlag, pp. 100-111, 5th International Visual Informatics Conference, IVIC 2017, Bangi, Malaysia, 28/11/17. https://doi.org/10.1007/978-3-319-70010-6_10
Rasid N, Puteri Nor Ellyza N, Alias H, Hamzah I, Aliimran N. Using data mining strategy in qualitative research. In Advances in Visual Informatics - 5th International Visual Informatics Conference, IVIC 2017, Proceedings. Vol. 10645 LNCS. Springer Verlag. 2017. p. 100-111. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-70010-6_10
Rasid, Nadhirah ; Puteri Nor Ellyza, Nohuddin ; Alias, Hamidah ; Hamzah, Irna ; Aliimran, Nordin. / Using data mining strategy in qualitative research. Advances in Visual Informatics - 5th International Visual Informatics Conference, IVIC 2017, Proceedings. Vol. 10645 LNCS Springer Verlag, 2017. pp. 100-111 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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