%0 Journal Article
%T Sequential Pattern Mining Research<br>序列模式挖掘研究
%A WU Kong-Ling
%A MIAO Yu-Qing
%A SU Jie
%A ZHANG Xiao-Hua
%A <br>吴孔玲
%A 缪裕青
%A 苏杰
%A 张晓华
%J 计算机系统应用
%D 2012
%I 
%X In order to analysis shopping basket data better, mine potential customers, sequential pattern minging emerged.Sequential pattern mining is an important research content of data mining and has been widely used in many fields in recent years. We summary sequential pattern mining development situation at present, research classical algorithm based on basic mining framework and algorithm based on extension model, Especially describe the new data form sequential pattern mining appeared in recent years and the algorithm based on zero compression binary decision figure （ZBDD）, Finally prospect the sequential pattern mining development trend.
%K sequential pattern mining
%K pattern-growth
%K projected-database
%K ZBDD<br>序列模式挖掘
%K 模式增长
%K 投影数据库
%K 零压缩二叉决策图
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=57C6AD9B0ADA053789DE1395C40522A3&yid=99E9153A83D4CB11&vid=659D3B06EBF534A7&iid=B31275AF3241DB2D&sid=96A53C367B5173D7&eid=273ADA1BCEFE8C00&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=32