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» Classifier Selection Based on Data Complexity Measures
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APNOMS
2008
Springer
13 years 8 months ago
Application of Data Mining to Network Intrusion Detection: Classifier Selection Model
As network attacks have increased in number and severity over the past few years, intrusion detection system (IDS) is increasingly becoming a critical component to secure the netwo...
Huy Anh Nguyen, Deokjai Choi
BIOCOMP
2010
13 years 2 months ago
A Network-based Approach to Classify Disease Stages of Prostate Cancer Using Quantitative Network Measures
Abstract-- This study deals with investigating the classification performance of information-theoretic measures when applied to complex biological networks. In particular, our aim ...
Laurin A. J. Mueller, Karl G. Kugler, Andreas Dand...
IAJIT
2011
12 years 9 months ago
A hierarchical K-NN classifier for textual data
: This paper presents a classifier that is based on a modified version of the well known K-Nearest Neighbors classifier (K-NN). The original K-NN classifier was adjusted to work wi...
Rehab M. Duwairi, Rania Al-Zubaidi
ICIAP
2005
ACM
14 years 6 months ago
A Neural Adaptive Algorithm for Feature Selection and Classification of High Dimensionality Data
In this paper, we propose a novel method which involves neural adaptive techniques for identifying salient features and for classifying high dimensionality data. In particular a ne...
Elisabetta Binaghi, Ignazio Gallo, Mirco Boschetti...
ICPR
2004
IEEE
14 years 7 months ago
On Classifier Domains of Competence
We study the domain of dominant competence of six popular classifiers in a space of data complexity measurements. We observe that the simplest classifiers, nearest neighbor and li...
Ester Bernadó i Mansilla, Tin Kam Ho