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BIS
2010
171views Business» more  BIS 2010»
13 years 7 months ago
On Integrating Data Mining into Business Processes
Abstract. Integrating data mining into business processes becomes crucial for business today. Modern business process management frameworks provide great support for flexible desig...
Dennis Wegener, Stefan Rüping
PKDD
2004
Springer
97views Data Mining» more  PKDD 2004»
13 years 11 months ago
Dealing with Predictive-but-Unpredictable Attributes in Noisy Data Sources
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...
Ying Yang, Xindong Wu, Xingquan Zhu
SDM
2007
SIAM
104views Data Mining» more  SDM 2007»
13 years 7 months ago
Boosting Optimal Logical Patterns Using Noisy Data
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...
Noam Goldberg, Chung-chieh Shan
SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
13 years 7 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
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...
Levent Ertöz, Michael Steinbach, Vipin Kumar
ISASSCI
2001
13 years 7 months ago
Data Mining Architectures - A Comparative Study
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...
Thomas Thomas, Sanjeev Jayakumar, B. Muthukumaran