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Faster GPU-based genetic programming using a two-dimensional stack
DM Chitty - Soft Computing, 2017 - Springer
Genetic programming (GP) is a computationally intensive technique which also has a high
degree of natural parallelism. Parallel computing architectures have become commonplace …
degree of natural parallelism. Parallel computing architectures have become commonplace …
[PDF][PDF] Mineraçao em grandes massas de dados utilizando hadoop mapreduce e algoritmos bio-inspirados: Uma revisao sistemática
SL Menezes, RS Freitas, RS Parpinelli - Revista de Informática Teórica …, 2016 - seer.ufrgs.br
A Área de Mineração de Dados tem sido utilizada em diversas áreas de aplicação e visa
extrair conhecimento através da análise de dados. Nas últimas décadas, inúmeras bases …
extrair conhecimento através da análise de dados. Nas últimas décadas, inúmeras bases …
Improving the performance of GPU-based genetic programming through exploitation of on-chip memory
DM Chitty - Soft Computing, 2016 - Springer
Abstract Genetic Programming (GP)(Koza, Genetic programming, MIT Press, Cambridge,
1992) is well-known as a computationally intensive technique. Subsequently, faster parallel …
1992) is well-known as a computationally intensive technique. Subsequently, faster parallel …
Architectures of big data analytics: scaling out data mining algorithms using Hadoop–MapReduce and Spark
S Kamaruddin, V Ravi - 2021 - IET
Many statistical and machine learning (ML) techniques have been successfully applied to
small-sized datasets during the past one and half decades. However, in today's world …
small-sized datasets during the past one and half decades. However, in today's world …
Classification of microarray data using SVM mapreduce
XR Jenifer, R Lawrance - 2017 IEEE International Conference …, 2017 - ieeexplore.ieee.org
Microarray technology has turned into a very important tool to examine the expression level
of genes. Gene expression data analysis is the determination of the pattern of genes …
of genes. Gene expression data analysis is the determination of the pattern of genes …
Genetic programming over spark for higgs boson classification
With the growing number of available databases having a very large number of records,
existing knowledge discovery tools need to be adapted to this shift and new tools need to be …
existing knowledge discovery tools need to be adapted to this shift and new tools need to be …
Distributed hybrid rice algorithm based on hadoop
L Yan, Q Luo, X Deng, H Chen… - 2018 13th International …, 2018 - ieeexplore.ieee.org
Hybrid Rice Optimization Algorithm (HRO) is a novel swarm intelligence optimization
algorithm based on heuristic evolutionary computation, which is inspired by the cultivation …
algorithm based on heuristic evolutionary computation, which is inspired by the cultivation …
DHE: Distributed Hybrid Evolution Engine for Performance Optimizations of Computationally Intensive Applications
O Stroie, ES Apostol, CO Truică - … Conference on Big Data Analytics and …, 2020 - Springer
A large number of real-world optimization and search problems are too computationally
intensive to be solved due to their large state space. Therefore, a mechanism for generating …
intensive to be solved due to their large state space. Therefore, a mechanism for generating …
DHE2: Distributed Hybrid Evolution
O Stroie, ES Apostol, CO Truică - Big Data Analytics and …, 2020 - books.google.com
A large number of real-world optimization and search problems are too computationally
intensive to be solved due to their large state space. Therefore, a mechanism for generating …
intensive to be solved due to their large state space. Therefore, a mechanism for generating …
[PDF][PDF] ANÁLISE DO PERCURSO DA QUALIDADE DE DIFERENTES MÉTRICAS PARA AGRUPAMENTO DE DADOS UTILIZANDO ALGORITMO PARALELO …
SC JOINVILLE - 2016 - cct.udesc.br
ANÁLISE DO PERCURSO DA QUALIDADE DE DIFERENTES MÉTRICAS PARA
AGRUPAMENTO DE DADOS UTILIZANDO ALGORITMO PARALELO INSPIRADO EM O …
AGRUPAMENTO DE DADOS UTILIZANDO ALGORITMO PARALELO INSPIRADO EM O …