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Found 7 papers, 1 papers with code
A comprehensive review of visualization methods for association rule mining: Taxonomy, Challenges, Open problems and Future ideas
Association rule mining is intended for searching for the relationships between attributes in transaction databases.
Time series numerical association rule mining variants in smart agriculture
However, little attention has been paid to the time series numerical association rule mining, which offers a new technique for extracting association rules from time series data.
New Probabilistic-Dynamic Multi-Method Ensembles for Optimization based on the CRO-SL
In this paper we propose new probabilistic and dynamic (adaptive) strategies to create multi-method ensembles based on the Coral Reefs Optimization with Substrate Layers (CRO-SL) algorithm.
Accurate Long-term Air Temperature Prediction with a Fusion of Artificial Intelligence and Data Reduction Techniques
The analysis carried out this work is based on Reanalysis data, which are first processed by a correlation analysis among different prediction variables and the target (average air temperature in August first and second fortnights).
Analysis, Characterization, Prediction and Attribution of Extreme Atmospheric Events with Machine Learning: a Review
The accurate prediction, characterization, and attribution of atmospheric EEs is therefore a key research field, in which many groups are currently working by applying different methodologies and computational tools.
Randomization-based Machine Learning in Renewable Energy Prediction Problems: Critical Literature Review, New Results and Perspectives
In this paper we review the most important characteristics of randomization-based machine learning approaches and their application to renewable energy prediction problems.
A mixture of experts model for predicting persistent weather patterns
Weather and atmospheric patterns are often persistent.
