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基于商务智能的高考志愿填报指导系统设计与实现
引用本文:肖灿,张自力,何小明,夏大飞.基于商务智能的高考志愿填报指导系统设计与实现[J].西南师范大学学报(自然科学版),2012,37(5):89-97.
作者姓名:肖灿  张自力  何小明  夏大飞
作者单位:西南大学智能软件与软件工程重点实验室,重庆,400715
基金项目:重庆市科技攻关计划项目
摘    要:高考志愿填报关系到考生是否能被录取以及是否能录取到满意的院校和专业,它是一个复杂的过程,需要综合考虑考生成绩、院校情况、家庭情况等多种因素.考生和家长极其重视高考志愿填报,往往花费大量精力却又无法准确把握其脉搏.基于商务智能的高考志愿填报指导系统,使用SSH框架,利用招生数据挖掘系统,分析高考志愿填报存在的客观规律和潜在因素,为考生量身定做相关填报指导,最大程度降低考生志愿填报中存在的变数.

关 键 词:商务智能  高考志愿填报指导系统  数据挖掘  OLAP  SSH

Business Intelligence-Based College Preference Chosen Consulting System-Design and Implementation
XIAO Can , ZHANG Zi-li , HE Xiao-ming , XIA Da-fei.Business Intelligence-Based College Preference Chosen Consulting System-Design and Implementation[J].Journal of Southwest China Normal University(Natural Science),2012,37(5):89-97.
Authors:XIAO Can  ZHANG Zi-li  HE Xiao-ming  XIA Da-fei
Institution:Key Laboratory of Intelligent Software and Software Engineering,Southwest University,Chongqing 400715,China
Abstract:"College preference chosen" is related to whether a student can be admitted into his/her preferred college.It is a complicated process,in which the candidate’s examination results,the institutional situation,family situation and other factors should be taken into consideration.Despite the fact that students and their parents always attach great importance to it and often spend a lot of energy on it,they cannot always accurately grasp the pulse.The "Business Intelligence-Based College Preference Chosen Consulting System" uses the enrollment data mining system and the SSH framework to analyze the objective laws of the underlying factors of college preference chosen.It offers an accurate guidance for students and minimizes the variables that exist in college preference chosen.
Keywords:business intelligence  College Preference Chosen Consulting System  data mining  OLAP  SSH
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