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ASC
2008
13 years 7 months ago
Info-fuzzy algorithms for mining dynamic data streams
Most data mining algorithms assume static behavior of the incoming data. In the real world, the situation is different and most continuously collected data streams are generated by...
Lior Cohen, Gil Avrahami, Mark Last, Abraham Kande...
GFKL
2005
Springer
93views Data Mining» more  GFKL 2005»
14 years 1 months ago
A Hybrid Machine Learning Approach for Information Extraction from Free Text
Abstract. We present a hybrid machine learning approach for information extraction from unstructured documents by integrating a learned classifier based on the Maximum Entropy Mod...
Günter Neumann
KDD
2002
ACM
157views Data Mining» more  KDD 2002»
14 years 8 months ago
Exploiting unlabeled data in ensemble methods
An adaptive semi-supervised ensemble method, ASSEMBLE, is proposed that constructs classification ensembles based on both labeled and unlabeled data. ASSEMBLE alternates between a...
Kristin P. Bennett, Ayhan Demiriz, Richard Maclin
CAISE
2003
Springer
14 years 23 days ago
Evaluation of the SRA Tool Using Data Mining Techniques
This paper describes a validation approach of a socio-technical design support system using data mining techniques. Bayesian Belief Networks (BBN) are used to assess human error an...
Andreas Gregoriades, Alistair G. Sutcliffe, Harala...
JUCS
2007
112views more  JUCS 2007»
13 years 7 months ago
Internet Path Behavior Prediction via Data Mining: Conceptual Framework and Case Study
: In this paper we propose an application of data mining methods in the prediction of the availability and performance of Internet paths. We deploy a general decision-making method...
Leszek Borzemski