EUSFLAT
2007
13 years 9 months ago
2007
Industrial databases often contain a large amount of unfilled information. During the knowledge discovery process one processing step is often necessary in order to remove these ...
ADMA
2006
Springer
13 years 11 months ago
2006
Springer
This work describes the use of a recently proposed technique
SAC
2004
ACM
14 years 28 days ago
2004
ACM
Most of the complexity of common data mining tasks is due to the unknown amount of information contained in the data being mined. The more patterns and correlations are contained ...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
In this paper, we describe the use of a modern learning classifier system to a data mining task. In particular, in collaboration with a medical specialist, we apply XCS to a prima...
AIIA
2007
Springer
14 years 1 months ago
2007
Springer
The discovery of emerging patterns (EPs) is a descriptive data mining task defined for pre-classified data. It aims at detecting patterns which contrast two classes and has been ...
ICDM
2008
IEEE
14 years 1 months ago
2008
IEEE
Motivated by the need for unification of the field of data mining and the growing demand for formalized representation of outcomes of research, we address the task of constructi...
ICWS
2009
IEEE
14 years 4 months ago
2009
IEEE
Mashup is a web technology that combines information from more than one source into a single web application. This technique provides a new platform for different data providers t...
KDD
2004
ACM
14 years 8 months ago
2004
ACM
We present an unusual algorithm involving classification trees-CARTwheels--where two trees are grown in opposite directions so that they are joined at their leaves. This approach ...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
Detecting outliers in a large set of data objects is a major data mining task aiming at finding different mechanisms responsible for different groups of objects in a data set. All...