Approach to use ontology based on electronic payment system and machine learning to prevent Fraud
| Autor: | Ahmed El Orche, Mohamed Bahaj |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Computer science
business.industry 05 social sciences 0211 other engineering and technologies Payment system 02 engineering and technology Ontology (information science) Machine learning computer.software_genre Field (computer science) Metadata Set (abstract data type) 021105 building & construction Ontology 0501 psychology and cognitive sciences Artificial intelligence business computer 050107 human factors Meaning (linguistics) |
| Zdroj: | NISS |
| DOI: | 10.1145/3320326.3320369 |
| Popis: | Machine learning is a field of study of artificial intelligence that is based on statistical approaches to give computers the ability to learn from data. An ontology is the structured set of terms and concepts representing the meaning of a field of information, whether by the metadata of a namespace, or the elements of a domain of knowledge. in this paper we propose an approach to combine a machine learning with an ontology based on an electronic payment system and another ontology generated automatically to prevent and fight the risks of fraud. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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