Discovery of temporal association rules with hierarchical granular framework
Most of the existing studies in temporal data mining consider only lifespan of items to find general temporal association rules. However, an infrequent item for the entire time may be frequent within part of the time. We thus organize time into granules and consider temporal data mining for differen...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Emerald Publishing
2016-07-01
|
| Series: | Applied Computing and Informatics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2210832716000041 |