1599 search results - page 64 / 320 » Theoretical Frameworks for Data Mining |
ICDM
2010
IEEE
14 years 7 months ago
2010
IEEE
This paper describes our experience with applying data mining techniques to the problem of fraud detection in spatio-temporal health data in Medicare Australia. A modular framework...
ICCAD
2006
IEEE
15 years 6 months ago
2006
IEEE
With shrinking feature size and growing integration density in the Deep Sub-Micron technologies, the global buses are fast becoming the “weakest-links” in VLSI design. They ha...
SSPR
2010
Springer
14 years 8 months ago
2010
Springer
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
ICIP
2010
IEEE
14 years 7 months ago
2010
IEEE
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
KDD
2006
ACM
15 years 10 months ago
2006
ACM
The problem of assessing the significance of data mining results on high-dimensional 0?1 data sets has been studied extensively in the literature. For problems such as mining freq...