Data mining with an ant colony optimization algorithm
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چکیده
منابع مشابه
Data mining with an ant colony optimization algorithm
This paper proposes an algorithm for data mining called Ant-Miner (ant-colony-based data miner). The goal of AntMiner is to extract classification rules from data. The algorithm is inspired by both research on the behavior of real ant colonies and some data mining concepts as well as principles. We compare the performance of Ant-Miner with CN2, a well-known data mining algorithm for classificat...
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Bayesian network has been used extensively in data mining. The Privacy-Preserving data mining algorithm based on quantum ant colony optimization is proposed in this paper. The algorithm is based on distributed database. The algorithm is divided into two steps. In the first step, the modified quantum ant colony optimization algorithm is used to get the local Bayesian network structure. The purpo...
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Intruders often combine exploits against multiple vulnerabilities in order to break into the system. Each attack scenario is a sequence of exploits launched by an intruder that leads to an undesirable state such as access to a database, service disruption, etc. The collection of possible attack scenarios in a computer network can be represented by a directed graph, called network attack gra...
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The Ant Colony Optimization (ACO) technique was inspired by the ants' behavior throughout their exploration for food. In nature, ants wander randomly, seeking for food. After succeeding, they return to their nest. During their move, they lay down pheromone that forms an evaporating chemical path. Other ants that locate this trail, follow it and reinforce it, since they also lay down pheromone. ...
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ژورنال
عنوان ژورنال: IEEE Transactions on Evolutionary Computation
سال: 2002
ISSN: 1089-778X
DOI: 10.1109/tevc.2002.802452