First, the basic information
Title: College Entrance Examination assisted reporting scheme is based on the wisdom of the decision-making
Time: 2017
Source: Chengdu Foreign Language School
Keywords: smart decisions; score prediction; College Entrance Examination; assisted reporting;
Second, research
1. The main contents
This paper presents the College Entrance Examination assisted reporting scheme based on the wisdom of the decision-making of the program by the data pre-admission scores predict and volunteer matching three parts. Data preprocessing initial treatment of related information, so that the processing result may be directly used for subsequent analysis and decision making. Admission predicted admission of each school year based on historical information to predict admission, a sub-section of the table, enrollment plans. Volunteer matching based on information voluntary reporting of scores of people, willingness to provide a list of schools or school to meet the requirements of the applicant, and reporting format provides a different combination of volunteer applicant, according to the College Entrance Examination can be used directly as a declaration of human volunteers. With this scheme can effectively improve the acceptance rate of voluntary reporting.
2. decision support voluntary reporting program
In this paper, the College Entrance Examination completing assist decision-making program, College Entrance Examination intelligence decision support system for the candidates voluntary reporting brings a new solution. College Entrance Examination intelligence decision support is the use of computer technology, network technology, data analysis technology, based on historical data and the candidate's willingness to use the wisdom of the decision-making methods of analysis and decision, ultimately in line with the candidates. College Entrance Examination willingness to provide help for many there is no "foreign aid" of candidates to fill volunteer. The program structure as shown:
(1) Data Preprocessing
In College Entrance Examination process, the information relating to the main school information, candidates voluntary reporting factors and finally volunteer information. School Information: School type (such as 985,211, first-class university, first-class school discipline, a common, ordinary two, three, etc. general), region (southeast, southwest, central China, northwest, northeast, etc.), cities, colleges, department, specialty, years admission, employment and so on. Factors affecting Applying to College: school type, region, city, college, department, specialty, candidates score, prediction admission lines. Volunteer information: the number of professional schools and sequence composition, can fill specific school, then the number of professional and voluntary reporting of specific provisions related. For voluntary reporting of information and school factors affect different types of each of its components, it can not be compared to measure when making decisions, need to be carried out on both the normalization process.
(2) admission prediction
This section presents a historical data according to a school that year enrollment plan, a sub-section of the table method to predict the year of admission, provide basic support for the volunteer to fill. Assuming each given year to build a professional school admission information is a multi-dimensional vector, (Major, Mark, CandNum AdmiNum , PlanNum, Rank), respectively, each component professional, admission, corresponding to the number of candidates on professional Batch , the number of admissions, the number of programs, admission lowest score ranking in a sub-section of the table. Below a certain specific example to describe the process of professional admission predicted. The first step in determining the parameters of the reference years. This parameter is set to 5 years, with reference to the past five years showing admissions, age parameter usually set to [3,5]. The second step to calculate predicted admission ranking reference value. Calculation of the 5 year before apply a specialized sub-period table corresponding to the admission of the average rank Rank. The third step is to adjust the reference value rankings.
(3) matching Volunteers
Volunteer matching proposed methods volunteer matching based on admission predicted the informant's actual test scores, and to fill the needs of people fill human needs may include type of school, regional school is located, school city, school, college, department, specialty , employment, school rankings, etc. Informant can choose from these factors in one or more factors, and adjust the priority of these factors, demand generation volunteer PQ own personalized: [pq1, pq2, ..., pqN]. Among them, a component pqi represent a specific need, such as professional and so on, pq1 voluntary reporting is the most important influencing factors, pq2 voluntary reporting is the next most important factors, in order of importance and then decline. Here PQ: [pq1, pq2, ..., pqN] component is Q; [q1, q2, ..., qn] subset of components.
CONCLUSIONS
By reading of Benpian journals. From the candidates understand the needs, the school intends to fill scores predict, volunteer matching three-pronged approach, progressive layers, based on historical information to be furnished school, then a period of sub-tables and other information, forming a list of volunteer candidates meet the individual needs of , it can satisfy the majority of candidates voluntary reporting requirements.
IV References
[1] Pengshi Chen . College Entrance Examination assisted reporting scheme is based on the wisdom of the decision-making of [J]. Chengdu Foreign Language School , 2017.