کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5471888 | 1519504 | 2017 | 13 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Multidimensional analysis model for highly pathogenic avian influenza using data cube and data mining techniques
ترجمه فارسی عنوان
مدل تجزیه و تحلیل چندزبانه برای آنفولانزای مرغی بسیار پاتوژن با استفاده از داده های مکعبی و تکنیک های داده کاوی
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
کنترل و سیستم های مهندسی
چکیده انگلیسی
The highly pathogenic avian influenza (HPAI) viral disease can spread rapidly, resulting in high mortality rates and severe economic damage. To minimize the damage incurred from such diseases, it is necessary to develop technology for collecting and analysing livestock disease data. In this paper, we propose a data cube model with data mining techniques for the analysis of HPAI using livestock disease data accumulated over an extended period. Based on the construction of the data cube model, a multidimensional HPAI analysis is performed using online analytical processing (OLAP) operations to assess the temporal and spatial perspectives of the spread of the disease with varying levels of abstraction. Furthermore, the proposed analysis model provides useful information that generates site connectedness and potential sequential dissemination routes of HPAI outbreaks by applying association rule mining and sequential pattern mining, respectively. We confirm the feasibility and applicability of the proposed HPAI analysis model by implementing and applying an analysis system to HPAI outbreaks in South Korea.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biosystems Engineering - Volume 157, May 2017, Pages 109-121
Journal: Biosystems Engineering - Volume 157, May 2017, Pages 109-121
نویسندگان
Zhenshun Xu, Jonguk Lee, Daihee Park, Yongwha Chung,