Description: Short description: GUI Ant-Miner is a tool for extracting classification rules from data. It is an updated version of a data mining algorithm called Ant-Miner (Ant Colony-based Data Miner), which was proposed in 2002 by Parpinelli, Lopes and Freitas. GUI Ant-Miner differs from the original algorithm as follows: It has a friendly graphical user interface, makes possible the use of ant populations within the Ant Colony Optimization (ACO) concept, data input file is standardized with the well-known Weka system, and runs on virtually any operating system since it is written in Java. Platform: |
Size: 72704 |
Author:xiaochuzhe |
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Description: Extending the
approach for coping with continuous attributes presented by
cAnt-Miner (Ant-Miner coping with continuous attributes), in
this paper we propose two new methods for handling continuous
attributes in ACO classification algorithms. The first method
allows a more flexible representation of continuous attributes’
intervals. The second method explores the problem of attribute
interaction, which originates from the way that continuous
attributes are handled in cAnt-Miner, in order to implement
an improved pheromone updating method. Empirical evaluation
on eight publicly available data sets shows that the proposed
methods facilitate the discovery of more accurate classification
models. Platform: |
Size: 1586176 |
Author:tanja |
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Description: Myra is a cross-platform Ant Colony Optimization framework written in Java. It provides a specialised data mining layer to support the application of ACO to classification problems, including the implementation of Ant-Miner and cAnt-Miner algorithms. The latter is an extension of Ant-Miner, which is able to cope with continuous attributes directly - i.e. cAnt-Miner does not requires a discretization method in a preprocessing step. Platform: |
Size: 229376 |
Author:juksa |
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