摘要: 为了解决目前企业急需的交叉销售问题,提出了基于时间戳数据库的分布式多层时态关联规则挖掘问题,并实现了解决该问题的核心算法DMTARM。该算法减少了数据库的扫描次数,提高了内存的使用效率和通信效率。
关键词:
数据挖掘,
关联规则,
分布式系统
Abstract: 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.
中图分类号:
任家东,任东英. 基于时间戳数据库的分布式多层时态关联规则挖掘[J]. , 2004, 30(16): 73-74.
REN Jiadong, REN Dongying. Mining Multi-level Temporal Association Rules from Distributed Timestamp Databases[J]. , 2004, 30(16): 73-74.