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ICTAI
2007
IEEE
14 years 2 months ago
Accurate Classification of SAGE Data Based on Frequent Patterns of Gene Expression
In this paper we present a method for classifying accurately SAGE (Serial Analysis of Gene Expression) data. The high dimensionality of the data, namely the large number of featur...
George Tzanis, Ioannis P. Vlahavas
PAAMS
2010
Springer
13 years 5 months ago
An Automatic Programming ACO-Based Algorithm for Classification Rule Mining
In this paper we present a novel algorithm, named GBAP, that jointly uses automatic programming with ant colony optimization for mining classification rules. GBAP is based on a con...
Juan Luis Olmo, Jose María Luna, José...
BMCBI
2006
94views more  BMCBI 2006»
13 years 7 months ago
Simulation of microarray data with realistic characteristics
Background: Microarray technologies have become common tools in biological research. As a result, a need for effective computational methods for data analysis has emerged. Numerou...
Matti Nykter, Tommi Aho, Miika Ahdesmäki, Pek...
CEC
2010
IEEE
13 years 5 months ago
A grammar based Ant Programming algorithm for mining classification rules
This paper focuses on the application of a new ACO-based automatic programming algorithm to the classification task of data mining. This new model, called GBAP algorithm, is based ...
Juan Luis Olmo, José Raúl Romero, Se...
TON
2010
93views more  TON 2010»
13 years 2 months ago
On the Validity of IEEE 802.11 MAC Modeling Hypotheses
We identify common hypotheses on which a large number of distinct mathematical models of WLANs employing IEEE 802.11 are founded. Using data from an experimental test bed and packe...
K. D. Huang, Ken R. Duffy, David Malone