Abstract. Integrating data mining into business processes becomes crucial for business today. Modern business process management frameworks provide great support for flexible desig...
Attribute noise can affect classification learning. Previous work in handling attribute noise has focused on those predictable attributes that can be predicted by the class and o...
We consider the supervised learning of a binary classifier from noisy observations. We use smooth boosting to linearly combine abstaining hypotheses, each of which maps a subcube...
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Data mining is the process of deriving knowledge from data. The architecture of a data mining system plays a significant role in the efficiency with which data is mined. It is pro...