A proposal of machine learning by rule generation from tables with non-deterministic information and its prototype system
A logical framework on Machine Learning by Rule Generation (MLRG) from tables with non-deterministic information is proposed, and its prototype system in SQL is implemented. In MLRG, the certain rules defined in Rough Non-deterministic Information Analysis (RNIA) are obtained at first, and each unce...
| Main Authors: | Sakai, H., Nakata, M., Watada, J. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.20332 / |
| Published: |
Springer Verlag
2017
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85022327980&doi=10.1007%2f978-3-319-60837-2_43&partnerID=40&md5=729710184c4b5656bfe528821d0ca9c2 http://eprints.utp.edu.my/20332/ |
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