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KDD
2006
ACM
109views Data Mining» more  KDD 2006»
16 years 8 days ago
Extracting redundancy-aware top-k patterns
Observed in many applications, there is a potential need of extracting a small set of frequent patterns having not only high significance but also low redundancy. The significance...
Dong Xin, Hong Cheng, Xifeng Yan, Jiawei Han
KDD
2004
ACM
124views Data Mining» more  KDD 2004»
16 years 8 days ago
Eigenspace-based anomaly detection in computer systems
We report on an automated runtime anomaly detection method at the application layer of multi-node computer systems. Although several network management systems are available in th...
Hisashi Kashima, Tsuyoshi Idé
KDD
2003
ACM
266views Data Mining» more  KDD 2003»
16 years 8 days ago
Applying data mining in investigating money laundering crimes
In this paper, we study the problem of applying data mining to facilitate the investigation of money laundering crimes (MLCs). We have identified a new paradigm of problems --- th...
Zhongfei (Mark) Zhang, John J. Salerno, Philip S. ...
KDD
2001
ACM
192views Data Mining» more  KDD 2001»
16 years 8 days ago
Data mining with sparse grids using simplicial basis functions
Recently we presented a new approach [18] to the classification problem arising in data mining. It is based on the regularization network approach but, in contrast to other method...
Jochen Garcke, Michael Griebel
CHI
2002
ACM
16 years 7 days ago
Interacting at a distance: measuring the performance of laser pointers and other devices
It is difficult to interact with computer displays that are across the room. A popular approach is to use laser pointers tracked by a camera, but interaction techniques using lase...
Brad A. Myers, Rishi Bhatnagar, Jeffrey Nichols, C...