Multi-label
Generating multi-label rules in associative classification (AC) from single label data sets is considered a challenging task making the number of existing algorithms for this task rare. Current AC algorithms produce only the largest frequency class connected with a rule in the training data set and...
Main Author: | Neda Abdelhamid |
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Format: | Article |
Language: | English |
Published: |
Emerald Publishing
2015-01-01
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Series: | Applied Computing and Informatics |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2210832714000210 |
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