在本文中，您复习了XML在数据挖掘中的用途和作用，包括模式匹配、变化监测、相似度搜索和监测、数据注释和语义。
In this article, you reviewed the use and roles of XML in data mining, including pattern matching, change detection, similarity search and detection, data annotation, and semantics.
时间序列存在于社会的各个领域，对于时间序列数据挖掘的研究目前主要集中在相似性搜索和模式挖掘上。
Recently the study on data mining of time series mainly concentrates on both the similarity search in a time series database and the pattern mining from a time series.
目前对于时间序列数据挖掘的研究主要集中在相似性搜索和模式挖掘上。
Opposite to mature part of data mining (such as mining of database association rules and classify rules), mining of time series still falls into a new branch.
本文主要研究了时间序列数据挖掘方法中的序列模式和相似性搜索。
This paper analyses all kinds of algorithms used on sequential pattern mining and discusses traditional similarity search techniques.
对时间序列的趋势性和相似性进行分析，研究了序列模式的挖掘算法等。
We also research the time series and series patterns mining, analysis tendencies and similarity of the time series, study the mining algorithms of the time series.
通过对网络数据包的分析，挖掘出网络系统中频繁发生的行为模式，并运用模式相似度比较对系统的行为进行检测，进而自动建立异常和误用行为的模式库。
By analysis of network traffic (packets), frequent user behavior profiles are mined, and then by comparing the profile similarity, system behavior can be detected in real-time.
通过对网络数据包的分析，挖掘出网络系统中频繁发生的行为模式，并运用模式相似度比较对系统的行为进行检测，进而自动建立异常和误用行为的模式库。
By analysis of network traffic (packets), frequent user behavior profiles are mined, and then by comparing the profile similarity, system behavior can be detected in real-time.
应用推荐