Results 121 to 130 of about 7,134 (167)

DATA COLONIALISM AND DATA SOVEREIGNTY IN INDIGENOUS SPACES

AoIR Selected Papers of Internet Research, 2023
This paper will discuss a topic of prioritized importance in contemporary Indigenous research: data sovereignty. In the light of the historical and cultural contexts in which we conduct our research, we need to drastically question and decenter research practices that could contribute to reiterating, maintaining, and amplifying colonial practices and ...
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Ant Colony Algorithms for Data Learning

International Journal of Applied Evolutionary Computation, 2013
Fuzzy Ant-Miner algorithm processes data with nominal class and has the disadvantage of not treating the data with continuous class. In this paper, after presenting the Fuzzy Ant Miner algorithm, the authors propose a new learning method to partition heterogeneous data with continuous class.
Mohamed Hamlich, Mohammed Ramdani
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Militarized Biometric Data Colonialism

2023
Abstract This chapter contends that the unprecedented collection of biometric data of the Afghan people by and under the direction of the United States from 2001 to 2021 transformed into both a method for data colonization and resource extraction, as well as a vehicle for surveillance capitalism. The U.S.
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Data reduction for classification with ant colony algorithms

Intelligent Data Analysis, 2016
In the field of data mining, classification is a supervised learning task whose purpose is to induce models (classifiers), using a set of labeled training data instances, to predict the class of new unlabeled instances. Data preparation is crucial to the data mining process, and its aim is to improve the fitness of the training data to allow learning ...
Khalid M. Salama, Ashraf M. Abdelbar, Ismail M. Anwar   +2 more
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Basic data standards for primate colonies

American Journal of Primatology, 1993
AbstractA set of simple standards has been developed to ease the task of transferring primate colony data between institutions and computers, and to assure that colony vital statistics are appropriate for demographic and genetic analyses. The standards have been designed to be easily and inexpensively implemented from existing databases, and also may ...
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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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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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Bacterial Colony Optimization for Data Clustering

2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT), 2019
Clustering is the process of the grouping object in a given data objects based on their similarity between data objects. The swarm intelligent based clustering algorithms are generally stochastic search techniques that followed by the morality of cooperative behavior and self organization of an insect group.
J. Revathi, V.P Eswaramurthy, P. Padmavathi   +2 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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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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