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Advanced matrix algorithm (AMA) : reducing number of scans for association rule generation

journal contribution
posted on 2017-12-06, 00:00 authored by M Mohamed, M Darwieesh, A B M Shawkat Ali
Existing Association Rules Mining (ARM) algorithms basically use multiple scans to extract a rule from a transaction database. Sometime ARM algorithms exit without a rule in the desktop environment due to the high volume of transactions. Matrix Algorithm (MA) is proposed to minimise this issue. However, it is a computational expensive solution. In this paper, we propose Advanced Matrix Algorithm (AMA), to generate an efficient rule by a single scan using the Boolean matrix concept. AMA is comparatively effective and efficient than traditional approaches in terms of computational cost for database scan and frequently candidate sets generation.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Volume

6

Issue

2

Start Page

202

End Page

214

Number of Pages

13

ISSN

1743-8195

Location

USA

Publisher

Inderscience Enterprises Ltd

Language

en-aus

Peer Reviewed

  • Yes

Open Access

  • No

External Author Affiliations

Faculty of Arts, Business, Informatics and Education; Institute for Resource Industries and Sustainability (IRIS); Jāmiʻat Asyūṭ;

Era Eligible

  • Yes

Journal

International journal of business intelligence and data mining.