Data squashing as preprocessing in association rule mining

Data squashing is a well-known preprocessing method in Machine Learning that enables construction of smaller datasets from the original ones and provides approximately the same results of data analysis as the original. The paper proposes a new data squashing method for Association Rule Mining based...

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Bibliographic Details

Published in:	2022 IEEE Symposium Series on Computational Intelligence (SSCI) pp. 1720 - 1725
Main Authors:	Fister, Iztok, Novak, Damijan, Verber, Domen
Format:	Conference Proceeding
Language:	English
Published:	IEEE 04.12.2022
Subjects:	association rule mining Computational intelligence Data analysis Data mining data squashing Euclidean distance evolutionary algorithms Machine learning Measurement preprocessing Testing
Online Access:	Get full text
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