【摘要】 高考志愿填报是一项复杂的系统工程,需要搜集多方信息,综合考虑考生分数、院校招生计划、报考热度、专业发展前景等因素。如何在海量的报考信息中甄别真实、有价值的信息困扰着广大考生和家长。基于大数据的高考志愿辅助填报系统,通过大数据分析与数据挖掘,可为广大考生提供海量真实、有价值的高考志愿填报信息,并提供院校/专业查询,该系统具有数据分析、投档分析、模拟填报等功能,帮助广大考生报考理想学校,提高录取机率。更多还原

【Abstract】 It is a complicated and systematic project, which not only gathers a lot of information, but also needs to integratedly consider the examinee’s grade, college enrollment plan, heat of applying for the university, specialty development prospect. How to screen out the real and valuable reference information in the huge amount of registration information has troubled the majority of candidates and parents.Through big data analysis and data mining, to establish the college enrollment information data mining system, to provide a large number of real, valuable college entrance examination information for the majority of candidates, and to build the college application auxiliary system on the.net platform, which provides institutions/professional inquiries,data analysis, file analysis, simulation filling and other functions to help the majority of candidates with the ideal schools and to improve the probability of admission.更多还原