標題: | Application of machine learning to identify Counterfeit Website |
作者: | Wu, KuanTing Chou, ShingHua Chen, ShyhWei Tsai, ChingTsorng Yuan, ShyanMing 資訊工程學系 網路工程研究所 Department of Computer Science Institute of Network Engineering |
關鍵字: | fraudulent website;counterfeit website;logistic regression;decision tree;support vector machine |
公開日期: | 1-一月-2014 |
摘要: | Recent years the prevalence of fraudulent websites has become more severe than before. Fraudulent ecommerce websites that sell counterfeit goods not only cost financial damage to consumers but also have a great impact on Internet industry. Nowadays, there is not an effective way to confront these websites. In this paper, we look forward to achieving three goals: find the characteristics of counterfeit websites, train models for classifying ecommerce websites and provide a service to help consumers distinguish counterfeit websites from legitimate ones. |
URI: | http://dx.doi.org/10.1145/3282373.3282407 http://hdl.handle.net/11536/152456 |
ISBN: | 978-1-4503-6479-9 |
DOI: | 10.1145/3282373.3282407 |
期刊: | IIWAS2018: THE 20TH INTERNATIONAL CONFERENCE ON INFORMATION INTEGRATION AND WEB-BASED APPLICATIONS & SERVICES |
起始頁: | 321 |
結束頁: | 324 |
顯示於類別: | 會議論文 |