Abstract
An incremental updating technique is developed for maintenance of the association rules discovered by database mining. There have been many studies on efficient discovery of association rules in large databases. However, it is nontrivial to maintain such discovered rules in large databases because a database may allow frequent or occasional updates and such updates may not only invalidate some existing strong association rules but also turn some weak rules into strong ones. In this study, an incremental updating technique is proposed for efficient maintenance of discovered association rules when new transaction data are added to a transaction database.
| Original language | English (US) |
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| Pages | 106-114 |
| Number of pages | 9 |
| State | Published - 1996 |
| Externally published | Yes |
| Event | Proceedings of the 1996 IEEE 12th International Conference on Data Engineering - New Orleans, LA, USA Duration: Feb 26 1996 → Mar 1 1996 |
Other
| Other | Proceedings of the 1996 IEEE 12th International Conference on Data Engineering |
|---|---|
| City | New Orleans, LA, USA |
| Period | 2/26/96 → 3/1/96 |
ASJC Scopus subject areas
- Software
- Signal Processing
- Information Systems