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目前对数据挖掘的研究主要集中在对静态数据的挖掘,而在实际工作中,经常要处理的矛盾问题,需要通过可拓变换和可拓变换的运算来解决,这就需要用到变换的知识,需要运用动态数据挖掘或可拓数据挖掘来解决问题.运用可拓逻辑和可拓数据挖掘的理论知识,根据国家消费者物价指数的变换对产品销售数据的影响来研究可拓数据挖掘中传导知识的挖掘,为企业的决策者在目前的市场环境下提出更加合理的销售策略提供依据.
At present, the research on data mining mainly focuses on the mining of static data. In practical work, the contradictions that are often dealt with need to be solved by the operations of extension transformation and extension transformation. This requires the knowledge of transformation , We need to use dynamic data mining or extension data mining to solve the problem.Using the theory of extension logic and extension data mining to study the conduction in extension data mining according to the influence of the transformation of national consumer price index on the product sales data Knowledge mining, for business decision makers in the current market environment to provide a more reasonable sales strategy to provide the basis.