An extended neuro-fuzzy approach for efficiently predicting review ratings in E-markets

Acampora, G ORCID logoORCID: https://orcid.org/0000-0003-4082-5616, Cosma, G ORCID logoORCID: https://orcid.org/0000-0002-4663-6907 and Osman, T ORCID logoORCID: https://orcid.org/0000-0001-8781-2658, 2014. An extended neuro-fuzzy approach for efficiently predicting review ratings in E-markets. In: 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Beijing International Convention Center, Beijing, 6-11 July 2014, Beijing.

Full text not available from this repository.
Item Type: Conference contribution
Creators: Acampora, G., Cosma, G. and Osman, T.
Date: 2014
Identifiers:
Number
Type
10.1109/FUZZ-IEEE.2014.6891829
DOI
Divisions: Schools > School of Science and Technology
Record created by: EPrints Services
Date Added: 09 Oct 2015 10:29
Last Modified: 09 Jun 2017 13:31
URI: https://irep.ntu.ac.uk/id/eprint/13783

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