A fuzzy logic based method to acquire user threshold of minimum-support for mining association rules
- Publication Type:
- Journal Article
- Citation:
- Information Sciences, 2004, 164 (1-4), pp. 1 - 16
- Issue Date:
- 2004-08-02
Closed Access
| Filename | Description | Size | |||
|---|---|---|---|---|---|
 | 2004000173.pdf | 685.33 kB |
Copyright Clearance Process
- Recently Added
- In Progress
- Closed Access
This item is closed access and not available.
There is a challenging man-machine-interface issue in existing association analysis algorithms because they are Apriori-like and the Apriori Algorithm is based on the assumption that users can specify the threshold: minimum-support. It is impossible that users give a suitable minimum-support for a database to be mined if the users are without knowledge concerning the database. In this paper, we propose a fuzzy mining strategy with database-independent minimum-support, which provides a good man-machine interface that allows users to specify the minimum-support threshold without any knowledge concerning their databases to be mined. We have evaluated the proposed approach and the experimental results have demonstrated that our algorithm is promising and efficient. © 2003 Elsevier Inc. All rights reserved.
Please use this identifier to cite or link to this item: