GPU-based similarity metrics computation and machine learning approaches for string similarity evaluation in large datasets

The digital era brings up on one hand massive amounts of available data and on the other hand the need of parallel computing architectures for efficient data processing. String similarity evaluation is a processing task applied on large data volumes, commonly performed by various applications such a...

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Vydáno v:	Soft computing (Berlin, Germany) Ročník 28; číslo 4; s. 3465 - 3477
Hlavní autoři:	Baloi, Aurel, Belean, Bogdan, Turcu, Flaviu, Peptenatu, Daniel
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2024 Springer Nature B.V
Témata:	Accuracy Algorithms Application of Soft Computing Artificial Intelligence Artists Bioinformatics Biomedical data Central processing units Complexity Computational Intelligence Control CPUs Data analysis Data processing Data search Datasets Dynamic programming Efficiency Engineering Field programmable gate arrays Graphics processing units Machine learning Malware Mathematical Logic and Foundations Mechatronics Microprocessors Neural networks Random access memory Robotics Scientometrics Search engines Securities markets Semantics Similarity Software String matching Parallel computation String similarity score GPU String matching CUDA kernel
ISSN:	1432-7643, 1433-7479
On-line přístup:	Získat plný text
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