Results 271 to 280 of about 170,980 (313)

Ant Colonies and Data Mining

2009
The chapter concentrates on the use of swarm intelligence in data mining. It focuses on the problem of medical data clustering. Clustering is a constantly growing area of current research. Medicine, market, trade, and meteorology belong to the numerous fields that benefit of its techniques.
Miroslav Bursa, Lenka Lhotska
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Enhancing data parallelism for Ant Colony Optimization on GPUs

Journal of Parallel and Distributed Computing, 2013
Graphics Processing Units (GPUs) have evolved into highly parallel and fully programmable architecture over the past five years, and the advent of CUDA has facilitated their application to many real-world applications. In this paper, we deal with a GPU implementation of Ant Colony Optimization (ACO), a population-based optimization method which ...
José M. Cecilia, José M. García 0001, Andy Nisbet, Martyn Amos, Manuel Ujaldon   +4 more
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Data clustering by ant colony on a digraph

2005 International Conference on Machine Learning and Cybernetics, 2005
An adaptive data clustering algorithm based on ant colony (ant-cluster) is presented. Enlightened by the self-organizing behavior of ant society, we assign acceptance rates on the directed edges of a pheromone digraph in ant-cluster system. The pheromone on the edges of the digraph is adaptively updated by the ants passing it.
null Ling Chen, null Li Tu, null Hong-Jian Chen   +2 more
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Constrained Ant Colony Optimization for Data Clustering

2004
Processes that simulate natural phenomena have successfully been applied to a number of problems for which no simple mathematical solution is known or is practicable. Such meta-heuristic algorithms include genetic algorithms, particle swarm optimization and ant colony systems and have received increasing attention in recent years. This paper extends
Shu-Chuan Chu, John F. Roddick, Che-Jen Su, Jeng-Shyang Pan 0001   +3 more
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Data Mining with Ant Colony Algorithms

2013
The Ant-Miner algorithm, Ant-Miner2, Ant-Miner3 and Taco-Miner have an excellent performance in classification tasks, what can be seen in literature. These algorithms are inspired on the behavior of real ant colonies and some data mining concepts as well as principles.
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Ant Colony Algorithms for Data Classification

2009
Ant colony optimization (ACO) is a relatively new computational intelligence paradigm inspired by the behavior of natural ants (Dorigo & Stutzle, 2004). Ants often find the shortest path between a food source and the nest of the colony without using visual information.
Alex A. Freitas, Rafael S. Parpinelli, Heitor S. Lopes   +2 more
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Data Colonialism

Digital Colonialism and Inequality represent a new front of global power, in which control over technology and data reinforces inequalities between nations and populations. The rapid expansion of digital technologies has brought about an uneven access to, and use of, knowledge and resources, predominantly benefiting a privileged minority at the expense
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Using ant colonies to solve data-mining problems

2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583), 2005
Data mining is a constantly growing area. More and more domains of the daily life take advantage of the available tools (medicine, trade, meteorology, ...). However, such tools are confronted to a particular problem: the great number of characteristics that qualify data samples. They are more or less victims of the abundance of information.
Lotfi Admane, Karima Benatchba, Mouloud Koudil, Habiba Drias, Said Gharout, Nacer Hamani   +5 more
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Ant colony based hybrid optimization for data clustering

Kybernetes, 2007
PurposeA new algorithm based on ant colony optimization (ACO) for data clustering has been developed.Design/methodology/approachACO technique along with simulated annealing, tournament selection (GA), Tabu search and density distribution are used to solve unsupervised clustering problem for making similar groups from arbitrarily entered large data ...
Amarendra Nath Sinha, Nibedita Das, Gadadhar Sahoo   +2 more
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Mitigating data colonialism

Diese Masterarbeit untersucht die Chancen von Data Spaces zur wirtschaftlichen, politischen und gesellschaftlichen Emanzipation in der ECOWAS-Region. Durch die den Datenkapitalismus entstehen neue Formen von Abhängigkeiten und Machtgefügen, die sich unter den Begriffen „Datenkolonialismus“ oder „Datenextraktivismus“ zugeordnet werden können.
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