%0 Journal Article
%T Mining Burst patterns in large temporal database<br>大型时态数据库中的Burst 模式挖掘
%A ZENG De-sheng
%A ZHANG Shi-chao
%A WANG Ri-feng
%A XIE Chong
%A <br>张师超 曾德胜
%A 王日凤
%A 谢冲
%J 计算机应用
%D 2006
%I 
%X How to effectively discover potentially useful knowledge from large databases is an important yet challenging issue. The paper firstly pointed out there would be two problems in mining very large temporal databases with experimental results, and then proposed a new method to solve the two problems. This approach first partitioned a database into several small datasets. And then the Burst patterns were dug up after four times pruning on the data. The experimental results show that the proposed method is accurate and efficient, and the Burst patterns are useful for decision-making in business.
%K data mining
%K Burst pattern
%K temporal database<br>数据挖掘
%K Burst模式
%K 时态数据库
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=328EDEACB1DBA192&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=F3090AE9B60B7ED1&sid=2F687D0B62DA15A6&eid=C7B12F806433804F&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=14