Reasearch on the Data Analysis for College Entrance Examination Application Form Filling
|Keywords||College Entrance Examination mechanism Game Data Analysis Artificial Fish School Algorithm FCM algorithm|
College Entrance Examination mechanism reform is an important part of the reform of the college entrance system, and its research in recent years has become a hot topic in the education sector. Reporting mechanisms causing for the \Theory and data support the implementation of the new mechanism must therefore be very necessary to conduct a feasibility study. Game Theory (Game Theory), to study the interdependence and mutual influence of the decision-making body of rational decision-making behavior, and the theory of the equilibrium outcome of these decisions. Game theory based on the characteristics of the game of the College Entrance Examination, the theoretical study of the College Entrance Examination mechanism is a hot topic in recent years. With the rapid development of computer technology, database technology and network technology, the industry in the commercial operation has accumulated a large amount of data, and how to find potentially valuable information from these data, data mining is becoming content. Provincial candidates annual Applying to College volunteer data up to one million of these huge data, contains a wealth of information for decision-making and knowledge. Using data mining technology and mining analysis, data support to the current voluntary reporting mechanism. Data analysis techniques as a means to demonstrate the results of theoretical studies of the mechanism of the College Entrance Examination, and data analysis system based on improved artificial fish school and FCM hybrid algorithm for provincial Admissions agencies design. Specific research work in the following areas: 1. Applying to College on the domestic use of various mechanism analysis and appraisal. (2) to improve the basic artificial fish swarm algorithm (AFSA). Slow late this algorithm computing to increase the bulletin board concept of optimal subgroups central location; improve basic artificial fish swarm algorithm foraging, cluster and rear-end three behavior patterns. Iterative algorithm to reduce the time and improve the efficiency of the algorithm's purpose. 3 basic FCM algorithm improvements. Large number of volunteer data according to the candidates, the analysis requires high precision, the the FCM algorithm clustering effect is often influenced by the initial cluster centers and other shortcomings, mixed FCM algorithm and improved artificial fish swarm algorithm using improved artificial fish swarm algorithm FCM algorithm to find the initial cluster centers to improve the efficiency of the optimization of the FCM algorithm. A the candidates volunteer data analysis system, constructed for the provincial Admissions brilliant idea of ??Henan Province in 2010 volunteer data analysis, argumentation known points in the province that year to take the test after completing parallel voluntary mechanisms reasonable.