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商务数据识别及处理方法研究
RESEARCH ON COMMERCIAL DATA IDENTIFICATION AND SETTLING METHODS
【摘要】 依据数据的几何形态来推断变量间函数关系的原理和Fuzzy嵌入文法概念,提出以数据曲线特征为依据的商务数据识别及处理方法.该模式识别方法中,特征重心是在赋予原始数据不同特征度条件下实现的,更接近人为表述数据曲线的心理特征,适应于商务数据的预处理.同时重点讨论了处理商务数据过程中的W eb数据挖掘及有关的可行方法.
【Abstract】 Commercial Data Identification and Settling Methods based on data curve feature are put forward according to fundamental of deducing function relation by data geometric pattern and conception of Fuzzy embedded syntax.By means of this pattern identification,feature center can be fixed under condition of different feature degree of given original data,which is further closer to psychological feature described by artificial data curve and adaptive to pre-treatment of commercial data.Besides,web data mining and the relevant feasible methods are focused on discussion.
【Key words】 commercial data; feature; information settling; identification;
- 【文献出处】 广州航海高等专科学校学报 ,Journal of Guangzhou Maritime College , 编辑部邮箱 ,2005年02期
- 【分类号】TP391.41
- 【下载频次】68