Acampora, G ORCID: https://orcid.org/0000-0003-4082-5616, Cosma, G ORCID: https://orcid.org/0000-0002-4663-6907 and Osman, T ORCID: 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.
Official URL: http://dx.doi.org/10.1109/FUZZ-IEEE.2014.6891829
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 |
Actions (login required)
Edit View |
Statistics
Views
Views per month over past year
Downloads
Downloads per month over past year