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Using Social Networks based on Data Mining to Promote New Technologies for Women from Emerging Countries
| Content Provider | Semantic Scholar |
|---|---|
| Author | Meskina, Syrine Ben Monfort, Valérie Miled, Achraf Ben |
| Copyright Year | 2014 |
| Abstract | Nowadays Social Network Websites become increasingly numerous and millions of people are registered. They become famous and useful in several domains, in particular for sales and marketing activities all over the world. Their success is gradually growing in industrialized countries. In our paper, we firstly show how this technology is used to promote and enlarge sales networks. Secondly, we investigate the ontologies dedicated to represent the Social Network Semantics and their limits. We propose to use this approach to a research project which aims at addressing women from both rural and urban areas of emerging low income countries, who are individually or within group involved with sustainable hand craft and/or fair trade business leading to a varying degree of economic mobility. We finally conclude by proposing a solution that aims to promote Sales Social Networks based on Data Mining techniques. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.scitepress.org/Papers/2012/41069/41069.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Algorithm Data mining E-commerce InterViews Ontology (information science) Poverty Registration Seizures Social network Web 2.0 |
| Content Type | Text |
| Resource Type | Article |
