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Research on Mobile Internet User Behavior Preference Based on Support Vector Machine
Ye Yuan,Haigang Sheng,Haohao Shi 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.6
With the rapid development of the mobile Internet, mobile Internet users grow rapidly and the preference is more diverse, and the user's behavior is also showing a new feature. In this study, we use qualitative research and quantitative research, combined with empirical data and simulation analysis and the combination of traditional statistical analysis and modern data mining methods, to study the behavior preference of mobile Internet. Besides, we use the discrete choice model to build the binaryLogit model using SAS tools, and analyze the selected variables through data processing. Based on the significant influence factors, the behavior preference of mobile Internet users is classified by using support vector machine. The C-SVM binary classification machine is used as kernel function, and the parameters of the model and kernel function are optimized by cross validation. In this research, we introduce the support vector machine theory into the research field of the mobile Internet user behavior effectively, solve the problem of small and medium-sized samples effectively, and provide new ideas and methods for the research of mobile Internet user behavior.
Research on Evaluation System of Internet Venture Capital Project based on Matter - Element Method
Ye Yuan,Haigang Sheng,Haohao Shi 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.9
Drawing on experience of evaluation procedures on decision-making in the field of venture capital project, this paper establishes an evaluation procedures of telecommunications business innovation hatching project, combined with matter-element extension and other related theories. Firstly, by reviewing the evaluation index system related to innovation project and venture capital institutions, we construct the evaluation index system of Internet venture investment projects from four aspects, which are entrepreneurial team, technical/product, market and finance. Then, combining the characteristics of Internet business venture investment projects, with the project's classical field, segment field and matter element we establish the matter-element extension model of Internet venture investment project. An example is given to verify its feasibility and reasonability and the results provide a new way to assess the Internet venture capital project.