Cargando…
Mining of high utility-probability sequential patterns from uncertain databases
High-utility sequential pattern mining (HUSPM) has become an important issue in the field of data mining. Several HUSPM algorithms have been designed to mine high-utility sequential patterns (HUPSPs). They have been applied in several real-life situations such as for consumer behavior analysis and e...
Autores principales: | Zhang, Binbin, Lin, Jerry Chun-Wei, Fournier-Viger, Philippe, Li, Ting |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5526537/ https://www.ncbi.nlm.nih.gov/pubmed/28742847 http://dx.doi.org/10.1371/journal.pone.0180931 |
Ejemplares similares
-
High-utility pattern mining: theory, algorithms and applications
por: Fournier-Viger, Philippe, et al.
Publicado: (2019) -
Mining Locally Trending High Utility Itemsets
por: Fournier-Viger, Philippe, et al.
Publicado: (2020) -
Mining sequential patterns with flexible constraints from MOOC data
por: Song, Wei, et al.
Publicado: (2022) -
An Incremental High-Utility Mining Algorithm with Transaction Insertion
por: Lin, Jerry Chun-Wei, et al.
Publicado: (2015) -
An novel frequent probability pattern mining algorithm based on circuit simulation method in uncertain biological networks
por: He, Jieyue, et al.
Publicado: (2014)