PKDD
2005
Springer
13 years 10 months ago
2005
Springer
This paper presents Weka4WS, a framework that extends the Weka toolkit for supporting distributed data mining on Grid environments. Weka4WS adopts the emerging Web Services Resourc...
AIED
2005
Springer
13 years 10 months ago
2005
Springer
In this paper, we show how using data mining algorithms can help discovering pedagogically relevant knowledge contained in databases obtained from Web-based educational systems. Th...
ICDM
2005
IEEE
13 years 10 months ago
2005
IEEE
We present CoLe, a cooperative data mining approach for discovering hybrid knowledge. It employs multiple different data mining algorithms, and combines results from them to enhan...
ICDM
2005
IEEE
13 years 10 months ago
2005
IEEE
Data mining algorithms are facing the challenge to deal with an increasing number of complex objects. For graph data, a whole toolbox of data mining algorithms becomes available b...
IISWC
2006
IEEE
13 years 10 months ago
2006
IEEE
Abstract— Data mining constitutes an important class of scientific and commercial applications. Recent advances in data extraction techniques have created vast data sets, which ...
CIS
2007
Springer
13 years 10 months ago
2007
Springer
—Real-world data mining deals with noisy information sources where data collection inaccuracy, device limitations, data transmission and discretization errors, or man-made pertur...
IPPS
2007
IEEE
13 years 11 months ago
2007
IEEE
The knowledge discovery process is interactive in nature and therefore minimizing query response time is imperative. The compute and memory intensive nature of data mining algorit...
ICDM
2007
IEEE
13 years 11 months ago
2007
IEEE
We address a new learning problem where the goal is to build a predictive model that minimizes prediction time (the time taken to make a prediction) subject to a constraint on mod...
EDBT
2010
ACM
13 years 11 months ago
2010
ACM
More and more data mining algorithms are applied to a large number of long time series issued by many distributed sensors. The consequence of the huge volume of data is that data ...
SAC
2009
ACM
13 years 11 months ago
2009
ACM
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...