Frequent pattern using Multiple Attribute Value for itemset generation

Zalizah Awang Long, Azuraliza Abu Bakar, Abdul Razak Hamdan

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

Abstract

Data mining is the process of finding correlations or patterns among dozens of fields in large relational databases. While Association Rules Mining (ARM) algorithm especially the Apriori algorithm has been an active research work in recent years. Diverse improvement varies in term of producing more frequent items and also generating further k-length. The idea is to produce better pattern and more interesting rules. In this paper, we propose new approach for ARM based on Multiple Attribute Value within the non-binary search spaces. The proposed algorithm improves the existing frequent pattern mining by generating the most frequent values (item) within the attribute and generate candidate based on the frequent attribute value. The main idea of our work is to discover more meaningful frequent items and maximum k-length items. The experimental results show that our proposed MAV frequent pattern mining enhance the impact in generating more frequents items and maximum length

Original languageEnglish
Title of host publicationConference on Data Mining and Optimization
Pages44-50
Number of pages7
DOIs
Publication statusPublished - 2011
Event2011 3rd Conference on Data Mining and Optimization, DMO 2011 - Putrajaya
Duration: 28 Jun 201129 Jun 2011

Other

Other2011 3rd Conference on Data Mining and Optimization, DMO 2011
CityPutrajaya
Period28/6/1129/6/11

Fingerprint

Association rules
Micro air vehicle (MAV)
Data mining

Keywords

  • Apriori
  • Frequent Items
  • frequent pattern mining
  • Multiple Attribute

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Software

Cite this

Long, Z. A., Abu Bakar, A., & Hamdan, A. R. (2011). Frequent pattern using Multiple Attribute Value for itemset generation. In Conference on Data Mining and Optimization (pp. 44-50). [5976503] https://doi.org/10.1109/DMO.2011.5976503

Frequent pattern using Multiple Attribute Value for itemset generation. / Long, Zalizah Awang; Abu Bakar, Azuraliza; Hamdan, Abdul Razak.

Conference on Data Mining and Optimization. 2011. p. 44-50 5976503.

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

Long, ZA, Abu Bakar, A & Hamdan, AR 2011, Frequent pattern using Multiple Attribute Value for itemset generation. in Conference on Data Mining and Optimization., 5976503, pp. 44-50, 2011 3rd Conference on Data Mining and Optimization, DMO 2011, Putrajaya, 28/6/11. https://doi.org/10.1109/DMO.2011.5976503
Long ZA, Abu Bakar A, Hamdan AR. Frequent pattern using Multiple Attribute Value for itemset generation. In Conference on Data Mining and Optimization. 2011. p. 44-50. 5976503 https://doi.org/10.1109/DMO.2011.5976503
Long, Zalizah Awang ; Abu Bakar, Azuraliza ; Hamdan, Abdul Razak. / Frequent pattern using Multiple Attribute Value for itemset generation. Conference on Data Mining and Optimization. 2011. pp. 44-50
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