التفاصيل البيبلوغرافية
| العنوان: |
Outlier detection using neighborhood radius based on fractal dimension |
| المؤلفون: |
Hu, Lei, Zhang, Zhongnan, Dong, Huailin, Lin, Kunhui, 张仲楠, 董槐林, 林坤辉 |
| المصدر: |
http://dx.doi.org/10.1109/ICCSE.2014.6926468. |
| بيانات النشر: |
Institute of Electrical and Electronics Engineers Inc. |
| سنة النشر: |
2014 |
| المجموعة: |
Xiamen University Institutional Repository |
| الوصف: |
Conference Name:9th International Conference on Computer Science and Education, ICCCSE 2014. Conference Address: Vancouver, BC, Canada. Time:August 22, 2014 - August 24, 2014. ; Partition outlier using neighborhood radius has proven to be an effective distance-based detection algorithm. However, it is not yet clear how to choose the neighborhood radius dmin, and getting the value by trial and error is still been widely adopted. This paper presents a method to get the neighborhood radius from fractal dimensions which is used to describe the self-similarity of a dataset. We first discuss how to calculate the fractal dimensions and how to value dmin, and then we use this value in distance-based outlier detection algorithms. Finally, we verify the validity of this neighborhood radius calculation method by experimental results. |
| نوع الوثيقة: |
conference object |
| اللغة: |
English |
| Relation: |
Proceedings of the 9th International Conference on Computer Science and Education, ICCCSE 2014, 2014:272-276; 20144800257331; http://dspace.xmu.edu.cn/handle/2288/85803 |
| الاتاحة: |
http://dspace.xmu.edu.cn/handle/2288/85803 |
| رقم الانضمام: |
edsbas.5CFC7EAB |
| قاعدة البيانات: |
BASE |