Study on the use of different quality measures within a multi-objective evolutionary algorithm approach for emerging pattern mining in big data environments
Abstract Background Emerging pattern mining is a data mining task that extracts rules describing discriminative relationships amongst variables. These rules should be understandable for the experts. Comprehensibility of a rule is traditionally determined by several objectives, which can be calculate...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2019-01-01
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| Series: | Big Data Analytics |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s41044-018-0038-8 |