Mining Multi-level Temporal Association Rules from Distributed Timestamp Databases

For resolving cross selling which is urging needed by enterprises, this paper formulates the issue of mining multi-level temporal association rules from distributed timestamp databases, puts forward a solution for this issue. It reduces the scan times on related datasets, and also optimizes the communication mode by polling techniques for information exchange.