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128
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ICIAP
2005
ACM
16 years 2 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...
130
Voted
ICDM
2008
IEEE
164views Data Mining» more  ICDM 2008»
15 years 9 months 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
ICDE
2000
IEEE
130views Database» more  ICDE 2000»
16 years 3 months ago
CMP: A Fast Decision Tree Classifier Using Multivariate Predictions
Most decision tree classifiers are designed to keep class histograms for single attributes, and to select a particular attribute for the next split using said histograms. In this ...
Haixun Wang, Carlo Zaniolo
187
Voted
IAJIT
2011
14 years 6 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
128
Voted
CBMS
2008
IEEE
15 years 4 months ago
Effectiveness of Local Feature Selection in Ensemble Learning for Prediction of Antimicrobial Resistance
In the real world concepts are often not stable but change over time. A typical example of this in the biomedical context is antibiotic resistance, where pathogen sensitivity may ...
Seppo Puuronen, Mykola Pechenizkiy, Alexey Tsymbal