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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.
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).
Modeling preference time in middle distance triathlons
Modeling preference time in triathlons means predicting the intermediate times of particular sports disciplines by a given overall finish time in a specific triathlon course for the athlete with the known personal best result.
Making up for the deficit in a marathon run
This paper proposes an automatic making up for the deficit by using a Differential Evolution algorithm.
A Brief Review of Nature-Inspired Algorithms for Optimization
Swarm intelligence and bio-inspired algorithms form a hot topic in the developments of new algorithms inspired by nature.
A hybrid bat algorithm
Swarm intelligence is a very powerful technique to be used for optimization purposes.
