Year: 2014
Type: preprint
Abstract: Association Rule mining is one of the most important fields in data mining and knowledge discovery. This paper proposes an algorithm that combines the simple association rules derived from basic Apriori Algorithm with the multiple minimum support using maximum constraints. The algorithm is implemented, and is compared to its predecessor algorithms using a novel proposed comparison algorithm. Results of applying the proposed algorithm show faster performance than other algorithms without scarifying the accuracy.
Source: arXiv (Cornell University)
Authors: Medhat, Walaa, Yousef, Ahmed Hassan, Mohamed, Hoda Korashy
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2105167288