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ICMLA
2004
13 years 7 months ago
Outlier detection and evaluation by network flow
Detecting outliers is an important topic in data mining. Sometimes the outliers are more interesting than the rest of the data. Outlier identification has lots of applications, su...
Ying Liu, Alan P. Sprague
ICMLA
2004
13 years 7 months ago
A new discrete binary particle swarm optimization based on learning automata
: The particle swarm is one of the most powerful methods for solving global optimization problems. This method is an adaptive algorithm based on social-psychological metaphor. A po...
Reza Rastegar, Mohammad Reza Meybodi, Kambiz Badie
ICMLA
2004
13 years 7 months ago
A new landmarker generation algorithm based on correlativity
Landmarking is a recent and promising metalearning strategy, which defines meta-features that are themselves efficient learning algorithms. However, the choice of landmarkers is m...
Daren Ler, Irena Koprinska, Sanjay Chawla
ICMLA
2004
13 years 7 months ago
RAIN: data clustering using randomized interactions between data points
Abstract-- This paper introduces a generalization of the Gravitational Clustering Algorithm proposed by Gomez et all in [1]. First, it is extended in such a way that not only the G...
Jonatan Gómez, Olfa Nasraoui, Elizabeth Leo...
ICMLA
2004
13 years 7 months ago
PolyCluster: an interactive visualization approach to construct classification rules
This paper introduces a system, called PolyCluster, which adopts state-of-the-art algorithms for data visualization and integrates human domain knowledge into the construction pro...
Danyu Liu, Alan P. Sprague, Jeffrey G. Gray