节点文献
关联规则挖掘在大学毕业生综合素质评估中的应用
DATA MINING BASED ON ASSOCIATION RULE AND ITS APPLICATION IN ALL-AROUND DIATHESIS OF GRADUATES
【摘要】 当前,部分高校对大学毕业生的素质评估仍局限于文化课成绩,没有考虑学生其它方面的能力。为了完善这种片面评估,现利用一种改进的FP-Tree算法对学生的基本情况(包括:专业素质、思想道德素质、文学素质、身体素质、科研素质、社会实践素质、组织管理素质、创新等方面[1])进行规则挖掘,为家庭、学校更好地、有目的有方向地培养学生的各方面能力提供决策。本方法经校教务部门实践证明,切实可行,对教学管理具有指导作用。
【Abstract】 At present,in some universities the evaluation of the qualities of graduates is limited to course achievements,regardless of students’ abilities in other aspects.In order to improve the unilateral phenomena,the thesis attempts to utilize the refined Fp-tree algorithm to regularly mine students ’ basic qualities,including their professional quality,moral character,literary accomplishment,health state,social practice ability,organization ability,creativity etc,so as to provide families and schools strategies to foster students’ various abilities with certain purpose and in certain direction.The method has been proved practically useful by the Dean’ s Office and it has directive effect on teaching administration.
【Key words】 association rule; data mining; converse FP-tree algorithm; all-around diathesis;
- 【文献出处】 巢湖学院学报 ,Journal of Chaohu College , 编辑部邮箱 ,2009年06期
- 【分类号】TP311.13
- 【被引频次】2
- 【下载频次】78