Mining Fuzzy Multiple-Level Association Rules from Quantitative Data
β Scribed by Tzung-Pei Hong; Kuei-Ying Lin; Been-Chian Chien
- Book ID
- 110402740
- Publisher
- Springer US
- Year
- 2003
- Tongue
- English
- Weight
- 156 KB
- Volume
- 18
- Category
- Article
- ISSN
- 0924-669X
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Association rule mining is one of most popular data analysis methods that can discover associations within data. Association rule mining algorithms have been applied to various datasets, due to their practical usefulness. Little attention has been paid, however, on how to apply the association minin
Due to the increasing use of very large databases and data warehouses, mining useful information and helpful knowledge from transactions is evolving into an important research area. Most conventional data-mining algorithms identify the relationships among transactions using binary values and ΓΏnd rul