Information Search Based on Test Mining and EXTJS

Libin Yang, Yilai Zhang, Hailin Li
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引用次数: 1

Abstract

One of information search based on test mining and EXTJS technology is provided, which uses the relative principles in the filed of test mining and segmentation technology to preprocess and transform the information from internet. The problem of large data dimension caused by the redundancy characters extracted from the test is resolved and it improves the performance of the FE algorithm. Finally, the visual windows of results and easy operation web page interaction interface of management are showed and the burden of the CPU and memory of the server brought by the computing of the test mining is relieved by the new technology of EXTJS. The information decision system of the ceramic company testify that this method have the characters of intelligent behavior, precise result, beautiful and convenient interaction interface, easy operation and synchronization of running.
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基于测试挖掘和EXTJS的信息搜索
提出了一种基于测试挖掘和EXTJS技术的信息搜索方法,利用测试挖掘和分割技术领域的相关原理,对来自internet的信息进行预处理和转换。解决了测试中提取的冗余字符导致数据维数过大的问题,提高了有限元算法的性能。最后,展示了结果的可视化窗口和易于操作的管理网页交互界面,并通过EXTJS新技术减轻了测试挖掘计算给服务器带来的CPU和内存负担。陶瓷公司的信息决策系统验证了该方法具有行为智能、结果精确、交互界面美观方便、操作简单、运行同步等特点。
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