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机构地区:[1]河南机电高等专科学校计科系,河南新乡453000
出 处:《科技通报》2014年第6期140-142,共3页Bulletin of Science and Technology
基 金:河南省教育厅自然科学研究计划项目(2011B520010)
摘 要:为实现Web物流数据库GMS低样本偏差访问,提出的基于图模型采样过程的低样本偏差Web数据库访问查询方法。首先从一个任意的有效结果为起点开始访问,然后返回访问结果,从返回页面中抽取记录,以本地样本库中的样本数据库作为下次访问的起点进行下一次的查询,避免了对查询接口中属性表现形式的影响作用,GMS采样方法跨越查询接口的属性表达形式的限制性。仿真实验表明,模拟Web数据库中,样本偏差值总体结果值稳定,采用GMS采样模型,仿真实验和实测效果展示了模型算法的优越性能。The problem of realization of business Web database access with low sample deviation was researched. The query and access method for the Web database was proposed based on Graph Model Sample (GMS) process for the low sample bi-as. The access process was started with the arbitrary effective result as the access starting line. The access result was re-turned, and the records were obtained in the returned web page. The next query and access was implemented with the local sample database for the nest access start line. The method avoided the effects of the query interface properties. And the GMS method could overcome the limitation of the query interface properties. The simulation result shows that the sample deviation is stable, the method which proposed in this paper has much more predominant performance in practice.
分 类 号:TP311[自动化与计算机技术—计算机软件与理论]
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