An Improved Clustering Method for Detection System of Public Security Events Based on Genetic Algorithm and Semisupervised Learning
المؤلفون المشاركون
Guo, Zhiwei
Wang, Heng
Zhao, Zhenzhen
Wang, Zhenfeng
Xu, Guangyin
المصدر
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-06-18
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
The occurrence of series of events is always associated with the news report, social network, and Internet media.
In this paper, a detecting system for public security events is designed, which carries out clustering operation to cluster relevant text data, in order to benefit relevant departments by evaluation and handling.
Firstly, texts are mapped into three-dimensional space using the vector space model.
Then, to overcome the shortcoming of the traditional clustering algorithm, an improved fuzzy c-means (FCM) algorithm based on adaptive genetic algorithm and semisupervised learning is proposed.
In the proposed algorithm, adaptive genetic algorithm is employed to select optimal initial clustering centers.
Meanwhile, motivated by semisupervised learning, guiding effect of prior knowledge is used to accelerate iterative process.
Finally, simulation experiments are conducted from two aspects of qualitative analysis and quantitative analysis, which demonstrate that the proposed algorithm performs excellently in improving clustering centers, clustering results, and consuming time.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wang, Heng& Zhao, Zhenzhen& Guo, Zhiwei& Wang, Zhenfeng& Xu, Guangyin. 2017. An Improved Clustering Method for Detection System of Public Security Events Based on Genetic Algorithm and Semisupervised Learning. Complexity،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1143487
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wang, Heng…[et al.]. An Improved Clustering Method for Detection System of Public Security Events Based on Genetic Algorithm and Semisupervised Learning. Complexity No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1143487
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wang, Heng& Zhao, Zhenzhen& Guo, Zhiwei& Wang, Zhenfeng& Xu, Guangyin. An Improved Clustering Method for Detection System of Public Security Events Based on Genetic Algorithm and Semisupervised Learning. Complexity. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1143487
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1143487
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر