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...

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Bibliographic Details
Main Author: Neda Abdelhamid
Format: Article
Language:English
Published: Emerald Publishing 2015-01-01
Series:Applied Computing and Informatics
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2210832714000210

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