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Analysis Of Volunteer System For Online Filling And Research On Intelligent Assistant Model

Posted on:2020-07-02Degree:MasterType:Thesis
Country:ChinaCandidate:Y X GuFull Text:PDF
GTID:2370330578468532Subject:Agriculture
Abstract/Summary:PDF Full Text Request
From the comprehensive analysis of the voluntary reporting system on the Internet,the implementation mechanism of each module such as user rights and data permissions is extracted.The lock service mechanism is a security protection mechanism that guarantees the safe and efficient operation of the volunteer process from the system level.Highfrequency transaction processing data engine can suppress burst traffic by efficient transaction scheduling,breaking through the technical bottleneck of peak data writing.Through the comprehensive analysis of the business model and technology model of online Volunteer Registration system,we can make a good reserve for the volunteer data acquisition work under the comprehensive reform of the new college entrance examination and the optimization of business and technology.Through the correlation analysis of the multi-dimensional mixed attributes between the online volunteer filling system and the admission system of colleges and universities,the data conversion mode between the systems is distinguished,and the business mode of the intelligent assistant model of volunteer filling is extracted.Data sampling is accomplished through the combination of professional perspective of enrollment business and scientific methods,and data mining algorithms such as clustering,regression and classification are used to complete the technical model research of volunteer intelligent assistant model.Based on the multi-dimensional attribute historical data of the same batch,same subject and other business types,the universities and their majors are grouped by the fuzzy C-means clustering algorithm.Sparse multivariate linear regression algorithm is used to establish the mathematical prediction model of the filing fraction line and the professional admission fraction line in Colleges and universities.Rule-based classification algorithm is used to match colleges and their majors.The grouping of colleges and their majors is determined according to the leading classification attributes of the candidates' input.The trend prediction of the score line of College filing and the admission line of its majors is realized through the corresponding mathematical model of the grouping,which plays an auxiliary reference role in rationalizing candidates' volunteering.
Keywords/Search Tags:Voluntary reporting, transaction scheduling, clustering, classification, multiple linear regression
PDF Full Text Request
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