Parameter setting procedure via quick parameter evaluation in frequent pattern mining for outbreak detection

Zalizah Awang Long, Abdul Razak Hamdan, Azuraliza Abu Bakar

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

1 Citation (Scopus)

Abstract

Data sources for outbreak detection nowadays not only focus on emergency department or hospital-based data but also grocery data. However, the size of huge data, may consume higher time and extreme number of discovered pattern. Unfortunately not all the discovered pattern from the frequent mining is interesting pattern. Hence frequent pattern mining algorithms producing numbers of frequent pattern, still parameter uses in minimum support and which frequent itemset producing better pattern remains fairly open. It is important to gains some limitation of minimum support to be applied to the frequent mining algorithm so that we not end up at compiling higher patterns including a normal pattern. We propose a procedure based on quick parameter setting to estimate minimum support and also frequent itemset. Our empirical validation shown the procedure will extract ranging minimum support and frequent itemset to be considered to generate interesting pattern.

Original languageEnglish
Title of host publication2009 2nd Conference on Data Mining and Optimization, DMO 2009
Pages90-93
Number of pages4
DOIs
Publication statusPublished - 2009
Event2009 2nd Conference on Data Mining and Optimization, DMO 2009 - Bangi, Selangor
Duration: 27 Oct 200928 Oct 2009

Other

Other2009 2nd Conference on Data Mining and Optimization, DMO 2009
CityBangi, Selangor
Period27/10/0928/10/09

Keywords

  • Frequent item set
  • Frequent pattern mining
  • Minimum support

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Software

Cite this

Long, Z. A., Hamdan, A. R., & Abu Bakar, A. (2009). Parameter setting procedure via quick parameter evaluation in frequent pattern mining for outbreak detection. In 2009 2nd Conference on Data Mining and Optimization, DMO 2009 (pp. 90-93). [5341905] https://doi.org/10.1109/DMO.2009.5341905

Parameter setting procedure via quick parameter evaluation in frequent pattern mining for outbreak detection. / Long, Zalizah Awang; Hamdan, Abdul Razak; Abu Bakar, Azuraliza.

2009 2nd Conference on Data Mining and Optimization, DMO 2009. 2009. p. 90-93 5341905.

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

Long, ZA, Hamdan, AR & Abu Bakar, A 2009, Parameter setting procedure via quick parameter evaluation in frequent pattern mining for outbreak detection. in 2009 2nd Conference on Data Mining and Optimization, DMO 2009., 5341905, pp. 90-93, 2009 2nd Conference on Data Mining and Optimization, DMO 2009, Bangi, Selangor, 27/10/09. https://doi.org/10.1109/DMO.2009.5341905
Long ZA, Hamdan AR, Abu Bakar A. Parameter setting procedure via quick parameter evaluation in frequent pattern mining for outbreak detection. In 2009 2nd Conference on Data Mining and Optimization, DMO 2009. 2009. p. 90-93. 5341905 https://doi.org/10.1109/DMO.2009.5341905
Long, Zalizah Awang ; Hamdan, Abdul Razak ; Abu Bakar, Azuraliza. / Parameter setting procedure via quick parameter evaluation in frequent pattern mining for outbreak detection. 2009 2nd Conference on Data Mining and Optimization, DMO 2009. 2009. pp. 90-93
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