摘要
针对决策者处理矛盾问题时需要动态分类知识作为参考依据的需求,研制可拓分类知识挖掘系统。系统采用B/S结构,利用jQuery技术实现Web前端开发,通过MVC框架模式实现后台开发。此外,系统增强了数据预处理能力,提出且实现了挖掘八类可拓分类知识以及动态生成信息元库和知识库。并给出系统在教师科研考核评价中的具体应用,为科研管理者找出适合促进教师科研工作的策略提供科学的依据。
According to the demand of policy makers＇ need for dynamic classification knowledge as reference to deal with contradictory issues,an extension classification knowledge mining system is developed. The system is enhanced by B / S structure,using the j Query technology to implement Web front-end development and the framework of MVC model to implement background development. Besides,this system enhances the ability of data preprocessing,and it is able to mine eight kinds of extension classification knowledge and dynamic generate information database and knowledge database. This system is applied into faculty scientific research evaluation,which provides references for scientific research managers to find appropriate strategy to promote teachers＇ scientific research.
出处
《计算机应用与软件》
2017年第1期328-333,共6页
Computer Applications and Software
基金
广东省自然科学基金项目(1015009001000044)
广东省省级科技计划项目(2014A010103002)
关键词
可拓分类
知识挖掘
科研考核
jQuery技术
Extension classification
Knowledge mining
Scientific research evaluation
jQuery technology
