Sciweavers

13 search results - page 1 / 3
» Effective classification of noisy data streams with attribut...
Sort
View
SSPR
2000
Springer
13 years 9 months ago
Selection of Classifiers Based on Multiple Classifier Behaviour
In the field of pattern recognition, the concept of Multiple Classifier Systems (MCSs) was proposed as a method for the development of high performance classification systems. At p...
Giorgio Giacinto, Fabio Roli, Giorgio Fumera
ICIAP
1999
ACM
13 years 10 months ago
Methods for Dynamic Classifier Selection
In the field of pattern recognition, the concept of Multiple Classifier Systems (MCSs) was proposed as a method for the development of high performance classification systems. At ...
Giorgio Giacinto, Fabio Roli
CIDM
2007
IEEE
14 years 10 days ago
A Prototype-driven Framework for Change Detection in Data Stream Classification
This paper presents a prototype-driven framework for classifying evolving data streams. Our framework uses cluster prototypes to summarize the data and to determine whether the cur...
Hamed Valizadegan, Pang-Ning Tan
ICDM
2008
IEEE
164views Data Mining» more  ICDM 2008»
14 years 13 days ago
Classifying High-Dimensional Text and Web Data Using Very Short Patterns
In this paper, we propose the "Democratic Classifier", a simple, democracy-inspired patternbased classification algorithm that uses very short patterns for classificatio...
Hassan H. Malik, John R. Kender