Cargando…
A Comparative Study of Frequent Pattern Mining with Trajectory Data
Sequential pattern mining (SPM) is a major class of data mining topics with a wide range of applications. The continuity and uncertain nature of trajectory data make it distinctively different from typical transactional data, which requires additional data transformation to prepare for SPM. However,...
Autores principales: | Ding, Shiting, Li, Zhiheng, Zhang, Kai, Mao, Feng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9571407/ https://www.ncbi.nlm.nih.gov/pubmed/36236703 http://dx.doi.org/10.3390/s22197608 |
Ejemplares similares
-
Spatiotemporal frequent pattern mining from evolving region trajectories
por: Aydin, Berkay, et al.
Publicado: (2018) -
Overview of frequent pattern mining
por: Ott, Jurg, et al.
Publicado: (2022) -
The Mining Algorithm of Maximum Frequent Itemsets Based on Frequent Pattern Tree
por: Mi, Xifeng
Publicado: (2022) -
Frequent pattern mining in multidimensional organizational networks
por: Gadár, László, et al.
Publicado: (2019) -
Data mining in clinical big data: the frequently used databases, steps, and methodological models
por: Wu, Wen-Tao, et al.
Publicado: (2021)