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HIS
2008
13 years 6 months ago
Evolutionary Training Set Selection to Optimize C4.5 in Imbalanced Problems
Classification in imbalanced domains is a recent challenge in machine learning. We refer to imbalanced classification when data presents many examples from one class and few from ...
Salvador García, Francisco Herrera
KDD
2005
ACM
161views Data Mining» more  KDD 2005»
14 years 5 months ago
Combining email models for false positive reduction
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
Shlomo Hershkop, Salvatore J. Stolfo
SDM
2010
SIAM
156views Data Mining» more  SDM 2010»
13 years 6 months ago
Co-selection of Features and Instances for Unsupervised Rare Category Analysis
Rare category analysis is of key importance both in theory and in practice. Previous research work focuses on supervised rare category analysis, such as rare category detection an...
Jingrui He, Jaime G. Carbonell
IFIP
2001
Springer
13 years 9 months ago
Semiotics and Intelligent Control
The overall purpose of this paper is to demonstrate the relevance of semiotics concepts to the analysis of intelligent control systems. Semiotics has only a minor impact on resear...
Morten Lind
P2P
2008
IEEE
222views Communications» more  P2P 2008»
13 years 11 months ago
IgorFs: A Distributed P2P File System
IgorFs is a distributed, decentralized peer-to-peer (P2P) file system that is completely transparent to the user. It is built on top of the Igor peer-to-peer overlay network, whi...
Bernhard Amann, Benedikt Elser, Yaser Houri, Thoma...