کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5024847 | 1470573 | 2018 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Weight-based method for inside outlier detection
ترجمه فارسی عنوان
روش مبتنی بر وزن برای تشخیص بیرونی داخل
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی (عمومی)
چکیده انگلیسی
Outlier detection becomes more and more important in our real life, such as network intrusion detection and credit card fraud detection, etc. In this paper, a weight-based method is proposed for inside outlier detection. According to the concepts of density and volume information, the weight is defined and introduced to construct a new measure of outlier-ness. Firstly, the total weight of a given object p and its neighbors is computed via their volume and average density. Then the estimated weight of the neighbors is obtained via the neighborhood's volume and p's density. If the total weight is not close to the estimated weight, p is an outlier. The weight-based method shows more superiority in inside outlier detection than LOF in low dimensions. Moreover, the proposed method performs as well as LOD in a high-dimensional space or when no inside outlier exists.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Optik - International Journal for Light and Electron Optics - Volume 154, February 2018, Pages 145-156
Journal: Optik - International Journal for Light and Electron Optics - Volume 154, February 2018, Pages 145-156
نویسندگان
Sulan Zhang, Jiaqiang Wan,