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中文摘要：
采用基于矩阵式的增量更新算法，解决关联规则更新中没有充分利用发现结果及效率低下的问题，并通过实际数据，验证了算法的有效性及高效性，为快速识别可疑金融交易提供了有益的参考。
英文摘要：
With the increasing of financial transaction, the update database is fast, so process of discovering suspicious financial transaction is costly. Many algorithms have been developed for the maintenance of association rules. A fast updating algorithm based on matrix was proposed. The algorithm makes full use of old data mining results and greatly reduces the times of scanning the database greatly. Experiments show that MIU is efficient.
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