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Mostrando ítems 551-560 de 567
Atividades didáticas para o ensino de computação na pré-escola
(Universidade Federal de São Carlos, 2020-12-16)
In the 21st century, various activities involve the use of or depend on computer technologies to exist. In this scenario, although children are surrounded by computing, many are still passive users, that is, they do not ...
Neural networks for feature-extraction in multi-target classification
(Universidade Federal de São Carlos, 2020-08-21)
Multi-target learning is a prediction task where each data example is associated with multiple target-variables (outputs) simultaneously. One of the challenges in this research field is related to the high dimensionality ...
Análise comparativa de benchmarks para banco de dados NoSQL orientados a grafos de propriedades
(Universidade Federal de São Carlos, 2021-07-06)
The new era of data economics, based on data sets with enormous volume, wide variety of formats, and rapid speed in data production and utilization, has brought the need for new data management structures and methods. Then ...
Análise sobre o fator temporal em tarefas de quantificação com dados textuais
(Universidade Federal de São Carlos, 2023-12-13)
The quantification task, a recently discovered field in machine learning, estimates the
class distribution of a dataset. Usually, quantification tasks are solved through classifica-
tion, an inducted classifier predicts ...
Uma avaliação experimental entre MongoDB e Mongochain utilizando o benchmark YCSB+T
(Universidade Federal de São Carlos, 2024-04-04)
The Atomicity, Consistency, Isolation and Durability (ACID) properties found in a Database Management System (DBMS) are normally related to relational Databases (DB). On the other hand, the emergence of the Not Just SQL ...
Paralelização híbrida do algoritmo Black Hole em um system on chip
(Universidade Federal de São Carlos, 2022-02-24)
Black Hole (BH) is a bioinspired metaheuristic algorithm based on the theory of relativity in which a sufficiently compact mass can deform the space-time to form a black hole, where no particles or electromagnetic radiation ...
Fuzzy approach for classification and novelty detection in data streams
(Universidade Federal de São Carlos, 2022-02-11)
Learning in data streams (DS) is a research area that seeks to extract knowledge from a large amount of continuously generated data in a short period of time. The novelty detection (ND) is responsible for identifying the ...
Redes neurais em grafos para aprendizado positivo: uma abordagem utilizando reescrita
(Universidade Federal de São Carlos, 2024-07-17)
Given the increasing volume of data generated by society, the task of classification has become even more complex, as some supervised classification algorithms require a substantial amount of labeled data to achieve good ...
Uma abordagem para trabalho cooperativo com suporte computadorizado
(Universidade Federal de São Carlos, 1993-11-01)
Nowadays, the modern society is going through radical technological changes that are generating debate and proposals concerning new ways of working. Information, computer and communication technologies represent an important ...
Eficientes modelos de múltiplas densidades para o aprendizado em grandes conjuntos e fluxo de dados
(Universidade Federal de São Carlos, 2024-04-23)
Unsupervised and semi-supervised machine learning prove highly beneficial in data-intensive contexts. Density-based hierarchical clustering offers a comprehensive insight into cluster and outlier structures within datasets ...