137 search results - page 7 / 28 » A Generic and Extendible Multi-Agent Data Mining Framework |
PKDD
2005
Springer
14 years 1 months ago
2005
Springer
Bi-clustering is a promising conceptual clustering approach. Within categorical data, it provides a collection of (possibly overlapping) bi-clusters, i.e., linked clusters for both...
PKDD
2005
Springer
14 years 1 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...
KDD
2007
ACM
14 years 8 months ago
2007
ACM
Characterising the differences between two databases is an often occurring problem in Data Mining. Detection of change over time is a prime example, comparing databases from two b...
ICDM
2007
IEEE
14 years 1 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...
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
Process Mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms...