Method of information process based on test mining and word segmentation

Binxiang Liu, Hailin Li, Xiang Cheng
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Abstract

Method of information process based on test mining and segmentation technology is provided, which uses the relative principles in the filed of test mining and word segmentation to preprocess and transform the information from internet. The problem of large data dimension caused by the redundancy characters extracted from the test is settled and it improves the performance of the CE arithmetic. Finally, the results are showed and the burden of the CPU and memory of the server which is brought by the of the ceramic company testify that this method have the characters of intelligent behavior, precise result, beautiful interface, easy operation and synchronization of running.
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基于测试挖掘和分词的信息处理方法
提出了一种基于测试挖掘和分词技术的信息处理方法,利用测试挖掘和分词领域的相关原理对来自internet的信息进行预处理和转换。解决了从测试中提取的冗余字符导致的数据维数大的问题,提高了CE算法的性能。结果表明,该方法具有行为智能、结果精确、界面美观、操作方便、运行同步等特点,并对陶瓷公司给服务器带来的CPU和内存负担进行了验证。
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