The Correlation Mining and Prediction of Social Security Events Based on Multidimensional Time Series Model
- Resource Type
- Conference
- Authors
- Chi, Xiaotong; Sun, Yueheng; Wang, Wenjun; Ma, Kuiyu
- Source
- 2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Intelligent Systems and Knowledge Engineering (ISKE), 2015 10th International Conference on. :408-413 Nov, 2015
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Time series analysis
Heating
Security
Market research
Data mining
Correlation
Media
social security events
correlation
trigger factors
multidimensional time series
- Language
In recent years the frequent occurring of social security events has leaded a serious damage to the masses' life and property. Based on large scale online time series data, this article mines event trigger factors and quantitatively analyzes their correlation to social security events by using multidimensional time series model. In addition, a situation dominated similarity measure method is presented to calculate the degree of similarity to events' development trend. The experiments of analyzing 3 specific kinds of social security events show that the invisible trigger factors can be well mined and accurately predict the number of events may happen in the future. This can provide a new thought and method for the administrator to control and prevent these events from happening.