1.
New mining algorithm for frequent closed sequential pattern based on subsume index
基于包含索引的频繁闭序列模式挖掘的新算法
2.
Frequent Sequence Pattern Mining in Web Log;
Web日志频繁序列模式挖掘的研究
3.
Research on Frequent-subtree Mining Algorithm Based on the Sequence Coding;
基于序列编码频繁子树挖掘算法研究
4.
A New Algorithm for Mining Weighted Maximal Frequent Sequences
一种挖掘加权最大频繁序列的新算法
5.
Mining of Frequent Traversal Sequences in Dynamic Web Clickstreams
动态Web点击流中频繁访问序列的挖掘
6.
Research of Mining Frequent Closed Patterns in Microarray Datasets;
微阵列数据集的频繁闭合模式挖掘算法研究
7.
Research on Frequent Sequential Pattern Mining Compression Using Approximate Partial Order;
基于偏序的频繁序列模式压缩算法研究
8.
Research on Frequent Traversal Sequence Mining Based on Web Click Streams;
基于Web点击流的频繁访问序列挖掘研究
9.
Method for Finding Frequent Set Based on Transaction Identifier Sequence;
基于事务标识符序列的频繁集发现方法
10.
Research on Text Clustering Algorithm Based on 2 Degree Frequent Word Sequence
基于2度频繁词序列的文本聚类算法研究
11.
Efficient Pruning Algorithm for Mining Frequent Sequential Pattern Based on Stream Data
流数据中一种高效剪枝的频繁序列挖掘算法
12.
Analysis and Improved of frequent sequence mining algorithm Apriori
频繁序列模式挖掘算法Apriori的分析及改进
13.
IM-FTS:high-speed incremental algorithm for mining frequent traversal sequences
IM-FTS:一种快速增量式频繁访问序列挖掘算法
14.
An Algorithm for Mining Connected Closed Frequent Subgraphs Based on FP-Tree
基于频繁模式树的频繁连通闭图集挖掘算法
15.
Mining Frequent Episodes Based on Time Serial Data Stream
基于时间序列数据流的挖掘频繁串行情节的研究
16.
This means that frequently used programs and documents can be close at hand, but not accessible to anyone else.
这意味着频繁使用程序和文件，并可以随手关闭计算机，而不会影响他人。
17.
Study on Associative Classification Based on Closed Frequent Itemsets
基于频繁闭项集的关联分类算法研究
18.
Research on Mining Closed Frequent Pattern in Data Streams
数据流闭合频繁模式挖掘算法的研究