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KDD
2005
ACM
127views Data Mining» more  KDD 2005»
15 years 9 months ago
Mining closed relational graphs with connectivity constraints
Relational graphs are widely used in modeling large scale networks such as biological networks and social networks. In this kind of graph, connectivity becomes critical in identif...
Xifeng Yan, Xianghong Jasmine Zhou, Jiawei Han
DAWAK
1999
Springer
15 years 8 months ago
Mining Interval Time Series
Data mining can be used to extensively automate the data analysis process. Techniques for mining interval time series, however, have not been considered. Such time series are commo...
Roy Villafane, Kien A. Hua, Duc A. Tran, Basab Mau...
CF
2010
ACM
15 years 7 months ago
Towards chip-on-chip neuroscience: fast mining of neuronal spike streams using graphics hardware
Computational neuroscience is being revolutionized with the advent of multi-electrode arrays that provide real-time, dynamic perspectives into brain function. Mining neuronal spik...
Yong Cao, Debprakash Patnaik, Sean P. Ponce, Jerem...
ACSW
2004
15 years 5 months ago
Cost-Efficient Mining Techniques for Data Streams
A data stream is a continuous and high-speed flow of data items. High speed refers to the phenomenon that the data rate is high relative to the computational power. The increasing...
Mohamed Medhat Gaber, Shonali Krishnaswamy, Arkady...
FIMI
2003
146views Data Mining» more  FIMI 2003»
15 years 5 months ago
ARMOR: Association Rule Mining based on ORacle
In this paper, we first focus our attention on the question of how much space remains for performance improvement over current association rule mining algorithms. Our strategy is...
Vikram Pudi, Jayant R. Haritsa