Numerical association rule mining

SN Computer Science, 2021
In data mining, the classical association rule mining techniques deal with binary attributes; however, real-world data have a variety of attributes (numerical, categorical, Boolean). To deal with the variety of data attributes, the classical association rule mining technique was extended to numerical association rule mining.
Minakshi Kaushik +5 more
openaire +3 more sources

Mining numerical association rules via multi-objective genetic algorithms

Information Sciences, 2013
Association rule discovery is an ever increasing area of interest in data mining. Finding rules for attributes with numerical values is still a challenging point in the process of association rule discovery. Most of popular methods for association rule mining cannot be applied to the numerical data without data discretization.
B. Minaei-Bidgoli, R. Barmaki, M. Nasiri
openaire +3 more sources

Multi-objective particle swarm optimization algorithm using adaptive archive grid for numerical association rule mining

Neural Computing and Applications, 2017
The most challenging issues in association rule mining are dealing with numerical attributes and accommodating several criteria to discover optimal rules without any preprocessing activities or predefined parameter values. In order to deal with these problems, this paper proposes a multi-objective particle swarm optimization using an adaptive archive ...
Kuo, R.J., Gosumolo, M., Zulvia, F.E.
openaire +4 more sources

association rule mining
data mining
association rules

multi-objective optimization
apriori algorithm
fos: computer and information sciences

machine learning
association rule
quantitative association rules