237 search results - page 17 / 48 » Development of Multi-Criteria Metrics for Evaluation of Data... |
ICDCS
2002
IEEE
14 years 17 days ago
2002
IEEE
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
HAIS
2009
Springer
14 years 6 days ago
2009
Springer
A generic and extendible Multi-Agent Data Mining (MADM) framework, EMADS (the Extendible Multi-Agent Data mining System) is described. The central feature of the framework is that ...
ICDE
1999
IEEE
14 years 9 months ago
1999
IEEE
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
BPM
2009
Springer
14 years 2 months ago
2009
Springer
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 ...
KDD
2002
ACM
14 years 8 months ago
2002
ACM
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...