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 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
4.
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
5.
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
6.
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
7.
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
8.
Research on Frequent Closed Pattern Mining Algorithm Based on COFI-Tree;
基于COFI-Tree的频繁闭合模式挖掘算法的研究
9.
Research on top k Frequent Closed Pattern Mining in Data Streams
数据流中top k项频繁闭合模式挖掘研究
10.
A Mining Algorithm Based On Dynamic Window of Frequent Closed Patterns About Data Stream
基于动态窗口的数据流频繁闭合模式挖掘算法
11.
CBC-DS:A Classification Algorithm Based on Closed Frequent Patterns for Mining Data Streams
CBC-DS:基于频繁闭模式的数据流分类算法
12.
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
13.
Top-k Closed Sequential Pattern Mining in Session Streams
会话流中Top-k闭序列模式的挖掘
14.
An active research in data mining area is the discovery of sequential patterns, which finds all frequent sub-sequences in a sequence database.
数据挖掘领域一个活跃的研究分支就是序列模式的发现,即在序列数据库中找出所有的频繁子序列。
15.
FP-array-based Improved FP-growth Algorithm
一种基于FP阵列技术的频繁模式挖掘算法
16.
Study of algorithm for distributed mining frequent closed patterns based on meta-learn technology
基于元学习的分布式挖掘频繁闭合模式算法研究
17.
Algorithm for mining frequent closed patterns with item constraint over data streams based on DSCFCI_tree
基于DSCFCI_tree的带项目约束的数据流频繁闭合模式挖掘算法
18.
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