5 citations · 15 across the 8 of their papers we have counts for
8 papers
Mining Compressed Repetitive Gapped Sequential Patterns Efficiently
Yongxin Tong, Li Zhao, Dan Yu +2
Mining frequent sequential patterns from sequence databases has been a central research topic in data mining and various efficient mining sequential patterns algorithms have been p…
The Prioritized Inductive Logic Programs
Shilong Ma, Yuefei Sui, Ke Xu
The limit behavior of inductive logic programs has not been explored, but when considering incremental or online inductive learning algorithms which usually run ongoingly, such beh…
Intelligent Search of Correlated Alarms for GSM Networks with Model-based Constraints
Qingguo Zheng, Ke Xu, Weifeng Lv +1
In order to control the process of data mining and focus on the things of interest to us, many kinds of constraints have been added into the algorithms of data mining. However, dis…
The Algorithms of Updating Sequential Patterns
Qingguo Zheng, Ke Xu, Shilong Ma +1
Because the data being mined in the temporal database will evolve with time, many researchers have focused on the incremental mining of frequent sequences in temporal database. In…
When to Update the sequential patterns of stream data?
Qingguo Zheng, Ke Xu, Shilong Ma
In this paper, we first define a difference measure between the old and new sequential patterns of stream data, which is proved to be a distance. Then we propose an experimental me…
Intelligent Search of Correlated Alarms from Database containing Noise Data
Qingguo Zheng, Ke Xu, Weifeng Lv +1
Alarm correlation plays an important role in improving the service and reliability in modern telecommunications networks. Most previous research of alarm correlation didn't conside…