원문정보
초록
영어
In the era of big data network, the data is no longer just a simple collection of objects; it contains a wealth of rich, complex, related knowledge. The effective use of the network big data value of the main task is not only to get more and more data, but also need to dig more useful knowledge from the existing data. In this paper, the author analyzes the multiple integration mechanism of ideological and political education resources, by using a KP-LIM inference method on association. Based on empirical analysis, we construct the performance evaluation system of ideological and political education; the result shows that first-class index includes policy implementation (0.25), subject of education (0.15), ideological and political education process (0.2), information system construction (0.15) and environment construction (0.25).College should construct implementation system all-round education of ideological and political education, in order to achieve the multiple integration effect.
목차
1. Introduction
2. Evolutionary Knowledge Network Model
2.1. Evolution of Knowledge Networks
2.2. Link Extension Mode
2.3. Algorithm and Analysis
3. Ideological and Political Education Model
3.1. Goals of Ideological and Political Education
3.2. Guiding Principles
4. Empirical Analysis
4.1. Construction of Evaluation Index System
4.2. Evaluation System of Ideological and Political Education
5. Conclusion
Acknowledgements
References