Clustering-based speed-up technique in ARM

버전 1.1.0 (12.9 MB) 작성자: Vugar
This submission introduces a toolbox for performing fuzzy/non-fuzzy ARM with/without applying a novel speed-up technique.

다운로드 수: 42

업데이트 날짜: 2020/8/15

라이선스 보기

This submission is to support submission of the corresponding manuscript:
https://www.researchgate.net/publication/343221822

The contribution of the manuscript is a novel speed-up technique, which application speeds-up association rule mining (ARM). The catchy feature of this technique is that it works well in fuzzy ARM and doesn't work well in non-fuzzy ARM.

NOTES:

(A)
Unfortunately, this time, the toolbox has no tutorial or video instruction. Possibly, it will be added later.
(B)
The toolbox has 6 scripts to be launched in the following order:
1) Initial_dataset_processing % the script performs clustering to obtain a reduced-size "Data_KM_Final_Set.txt".
2) Initial_dataset_formalization % the script prepares a dataset for further ARM.
3) MF_Show % the script plots the results of partitioning.
4) Critical_C=???? % the operation defines minsupp.
5) Entire_Ruleset_Design % the script performs ARM.
6) FIS_Design % the script creates a Mamdani-Type FIS from the ARM results.
7) FIS_Running % the created FIS is tested on selected data.

인용 양식

Vugar (2023). Clustering-based speed-up technique in ARM (https://www.mathworks.com/matlabcentral/fileexchange/73104-clustering-based-speed-up-technique-in-arm), MATLAB Central File Exchange. 검색됨 .

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1.1.0

A link to the ResearchGate profile of the corresponding paper is added to the description.

1.0.1

A complete version is submitted.

1.0.0