Ant Colony Optimization for Multi-Objective Optimization Problems
| Autor: | Yuefeng Li, Yue Xu, Wanzhong Yang |
|---|---|
| Rok vydání: | 2007 |
| Předmět: |
0209 industrial biotechnology
Association rule learning Computer science Transaction processing Evolutionary algorithm InformationSystems_DATABASEMANAGEMENT 02 engineering and technology computer.software_genre 020901 industrial engineering & automation 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Data mining Database transaction K-optimal pattern discovery computer |
| Zdroj: | ICTAI (1) |
| DOI: | 10.1109/ictai.2007.108 |
| Popis: | Intertransaction association rule mining is used to discover patterns between different transactions. It breaks the scope of association rule mining on the same transaction. Currently the FITI algorithm is the state of the art in intertransaction association rule mining. However, the FTTI introduces many unneeded combinations of items because the set of extended items is much larger than the set of items. Thus, we propose an alternative approach of granule based intertransaction association rule mining, where a granule is a group of transactions that meet a certain constraint. The experimental results show that this approach is promising in real-world industry. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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