%0 Journal Article
%T Novel binary symbolic representation of time series for similarity<br>一种高效的基于相似性查找时间序列的位符号化表示方法*
%A SUN Mei-yu
%A FANG Jian-an
%A <br>孙梅玉
%A 方建安
%J 计算机应用研究
%D 2008
%I 
%X In spite of there are dozens of techniques for producing different variants of the symbolic representation, there still have no known method to calculate the distance in the symbolic space to provide the lower bounding guarantee. This paper proposed a novel bit level symbolic representation called BSAP. The representation was unique in which it allowed dimensionality reduction and it also granted a lower bound distance measure defined on the symbolic representation. The experiments was performed on synthetic, as well as real data sequences to evaluate the proposed method.
%K time series
%K data mining
%K symbolic representation
%K similarity search<br>时间序列
%K 数据挖掘
%K 符号化表示
%K 相似性查找
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=5B880894A4C4297BA4510170C5D162FE&yid=67289AFF6305E306&vid=C5154311167311FE&iid=5D311CA918CA9A03&sid=B74F270320BE8FD5&eid=65A9E7EABC3B3432&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=19