Method for Mid-Long-Term Prediction of Landslides Movements Based on Optimized Apriori Algorithm
In the study of the mid-long-term early warning of landslide, the computational efficiency of the prediction model is critical to the timeliness of landslide prevention and control. Accordingly, enhancing the computational efficiency of the prediction model is of practical implication to the mid-lon...
Main Authors: | Wenhao Guo, Xiaoqing Zuo, Jianwei Yu, Baoding Zhou |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-09-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/9/18/3819 |
Similar Items
-
Parallel Implementation of Apriori Algorithm Based on MapReduce
by: Ning Li, et al.
Published: (2013-04-01) -
Búsqueda de documentos basada en el uso de índices ontológicos creados con MapReduce
by: Sonia Jaramillo Valbuena, et al.
Published: (2014-12-01) -
A distributed approach to Frequent Itemset Mining at low support levels
by: Clark, Neal
Published: (2014) -
Partitionnement dans les systèmes de gestion de données parallèles
by: Liroz Gistau, Miguel
Published: (2013) -
On the Effect of Replication of Input Files on the Efficiency and the Robustness of a Set of Computations
by: Lambert, Thomas
Published: (2017)