AAAI
2010
13 years 10 months ago
2010
Machine learning and data mining have become aware that using constraints when learning patterns and rules can be very useful. To this end, a large number of special purpose syste...
ALT
2010
Springer
13 years 10 months ago
2010
Springer
: The ability to distinguish, differentiate and contrast between different data sets is a key objective in data mining. Such ability can assist domain experts to understand their d...
ICDM
2007
IEEE
13 years 10 months ago
2007
IEEE
An easily implementable mixed-integer algorithm is proposed that generates a nonlinear kernel support vector machine (SVM) classifier with reduced input space features. A single ...
ICDM
2007
IEEE
13 years 10 months ago
2007
IEEE
For applications with consecutive incoming training examples, on-line learning has the potential to achieve a likelihood as high as off-line learning without scanning all availabl...
EDBT
2008
ACM
13 years 10 months ago
2008
ACM
The mobile phone industry has reached a saturation point. With low growth rates and fewer new customers available to acquire, competition among mobile operators is now focused on ...
DEXA
2008
Springer
13 years 10 months ago
2008
Springer
The usage of descriptive data mining methods for predictive purposes is a recent trend in data mining research. It is well motivated by the understandability of learned models, the...
DEXA
2008
Springer
13 years 10 months ago
2008
Springer
There is an extensive literature on data mining techniques, including several applications of these techniques in the e-commerce setting. However, all previous approaches require t...
DAWAK
2008
Springer
13 years 10 months ago
2008
Springer
Abstract. Data mining algorithms are often embedded in more complex systems, serving as the provider of data for internal decision making within these systems. In this paper we add...
INCDM
2010
Springer
13 years 10 months ago
2010
Springer
Abstract. Leveraging the power of increasing amounts of data to analyze customer base for attracting and retaining the most valuable customers is a major problem facing companies i...
PAKDD
2010
ACM
13 years 10 months ago
2010
ACM
We present ActMiner, which addresses four major challenges to data stream classification, namely, infinite length, concept-drift, conceptevolution, and limited labeled data. Most o...