1.
Research and Applications of Mining Frequent Function Set from Datasets;
从数据集中挖掘频繁函数集的研究和应用
2.
Mining Frequent Co-location patterns from Uncertain Data.Journal of Frontiers of Computer Science and Technology,2009
从不确定数据集中挖掘频繁Co-location模式
3.
An Algorithm for Mining Frequent Itemsets in Data Streams
一种面向数据流的频繁项集挖掘算法
4.
Mining Accurate Top-K Frequent Itemsets from Data Streams
基于数据流的top-k频繁项集挖掘
5.
Experiment of Log Mining in Digital Library Based on Frequent Download Set
基于频繁下载集的数字图书馆日志挖掘实验
6.
Research on Aggregation Query and Mining Frequent Patterns in Data Streams
数据流聚集查询和频繁模式挖掘的研究
7.
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
8.
The Research of the Frequent Item Sets Discovery Algorithm of Association Rules Data Mining;
关联规则数据挖掘频繁项目集发现算法的研究
9.
Research on Mining Frequent Closed Itemsets from a Sliding Window over Data Streams;
基于滑动窗口的数据流频繁闭合项集挖掘研究
10.
Research of an Algorithm for Frequent Closed Itemset Mining on Data Stream
一种数据流频繁闭合项集挖掘算法的研究
11.
FP-Tree Based Mining Frequent Itemsets over Data Streams
数据流中基于FP-Tree的频繁项集挖掘算法研究
12.
FI-PS:an algorithm for mining frequent itemsets in data streams based on period sampling
基于周期采样的数据流频繁项集挖掘算法研究
13.
Data Stream Frequent Closed Itemsets Mining Based on Sliding Window
基于滑动窗口的数据流频繁闭项集挖掘
14.
Online mining closed frequent itemsets over a stream sliding window
在线挖掘数据流滑动窗口中频繁闭项集
15.
Online Mining Maximal Frequent Itemsets in Sliding Window over Data Streams
在线挖掘数据流滑动窗口中最大频繁项集
16.
Maximal frequent item set mining with establishment of frequent item set vectors
建立频繁项目集向量的极大频繁项目集挖掘
17.
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
18.
Mining Complete and Correct Frequent Neighboring Class Sets from Spatial Databases
从空间数据库中挖掘频繁邻近类别集的一种新算法