Cargando…
A trajectory data compression algorithm based on spatio-temporal characteristics
BACKGROUND: With the growth of trajectory data, the large amount of data causes a lot of problems with storage, analysis, mining, etc. Most of the traditional trajectory data compression methods are focused on preserving spatial characteristic information and pay little attention to other temporal i...
Autores principales: | Zhong, Yanling, Kong, Jinling, Zhang, Juqing, Jiang, Yizhu, Fan, Xiao, Wang, Zhuoyue |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9575842/ https://www.ncbi.nlm.nih.gov/pubmed/36262140 http://dx.doi.org/10.7717/peerj-cs.1112 |
Ejemplares similares
-
Improving temporal smoothness and snapshot quality in dynamic network community discovery using NOME algorithm
por: Cai, Lei, et al.
Publicado: (2023) -
An improved image processing algorithm for visual characteristics in graphic design
por: Zhou, Huiying
Publicado: (2023) -
High-dimensional normalized data profiles for testing derivative-free optimization algorithms
por: Musafer, Hassan, et al.
Publicado: (2022) -
New deep data hiding and extraction algorithm using multi-channel with multi-level to improve data security and payload capacity
por: Hardan, Hanan, et al.
Publicado: (2022) -
Entropy based C4.5-SHO algorithm with information gain optimization in data mining
por: Reddy, G Sekhar, et al.
Publicado: (2021)