1.
Research on Algorithms for Mining top-K Frequent Patterns over Data Streams
数据流top-K频繁模式挖掘算法研究
2.
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
3.
Research and Implementation of Top-k Frequent Patterns Mining
基于Top-K项频繁模式挖掘的研究及实现
4.
An Efficient Mixed-searching-based Algorithm for Mining Top-K Most-frequent Patterns
一种基于混合搜索的高效Top-K最频繁模式挖掘算法
5.
Mining Accurate Top-K Frequent Itemsets from Data Streams
基于数据流的top-k频繁项集挖掘
6.
Top-k Closed Sequential Pattern Mining in Session Streams
会话流中Top-k闭序列模式的挖掘
7.
Efficient Top-K Query Processing in Central Peer-to-Peer Network
集中式P2P环境下有效的Top-K查询
8.
Exclusive Decays B→K~(*)l~+l~- and the Top-quark Two-Higgs Doublet Model
遍举衰变B→K~(*)l~+l~-与top夸克双Higgs模型
9.
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
10.
MINING ALGORITHM OF XML MAXIMAL FREQUENT QUERY PATTERN BASED ON FREQUENT LEAF PATTERN
基于频繁叶模式的XML最大频繁查询模式挖掘算法
11.
Research of Mining Frequent Patterns and Classification on Data Straems;
数据流频繁模式和分类挖掘算法研究
12.
Frequent Sequence Pattern Mining in Web Log;
Web日志频繁序列模式挖掘的研究
13.
Research on Algorithm for Mining Frequent Patterns of Data Streams;
数据流频繁模式挖掘算法研究与设计
14.
Incremental and Decremental Maintenance of Frequent Patterns in Dynamic Databases;
动态数据库中频繁模式的增减量维护
15.
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
16.
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
17.
Mining the Frequent Patterns in Recent Time Window over Data Streams
挖掘数据流最近时间窗口内频繁模式
18.
Improved Frequent Pattern Mining Algorithm Based on Apriori
基于Apriori的改进的频繁模式挖掘算法