دانلود مقاله ISI انگلیسی شماره 17774
ترجمه فارسی عنوان مقاله

تشخیص کلاهبرداری در قیمت گذاری در مراکز خرید آنلاین با استفاده از مدل مخلوط محدود

عنوان انگلیسی
Pricing fraud detection in online shopping malls using a finite mixture model
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
17774 2013 13 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Electronic Commerce Research and Applications, Volume 12, Issue 3, May–June 2013, Pages 195–207

ترجمه کلمات کلیدی
کلاهبرداری در قیمت گذاری - تشخیص کلاهبرداری - خرید آنلاین - تجارت الکترونیک - الگوریتم حداکثرسازی انتظار - مدل مخلوط محدود
کلمات کلیدی انگلیسی
Pricing fraud, Fraud detection, Online shopping, e-Commerce, Expectation maximization algorithm, Finite mixture model,
پیش نمایش مقاله
پیش نمایش مقاله  تشخیص کلاهبرداری در قیمت گذاری در مراکز خرید آنلاین با استفاده از مدل مخلوط محدود

Although pricing fraud is an important issue for improving service quality of online shopping malls, research on automatic fraud detection has been limited. In this paper, we propose an unsupervised learning method based on a finite mixture model to identify pricing frauds. We consider two states, normal and fraud, for each item according to whether an item description is relevant to its price by utilizing the known number of item clusters. Two states of an observed item are modeled as hidden variables, and the proposed models estimate the state by using an expectation maximization (EM) algorithm. Subsequently, we suggest a special case of the proposed model, which is applicable when the number of item clusters is unknown. The experiment results show that the proposed models are more effective in identifying pricing frauds than the existing outlier detection methods. Furthermore, it is presented that utilizing the number of clusters is helpful in facilitating the improvement of pricing fraud detection performances.