CPI指数变换对产品销售影响的可拓数据挖掘

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.

Extension Data Mining Based on Products Sales According to Change of CPI

Most researches of data mining focus on static databases.But in fact,we need deal with a lot of contradict problems.Solving these problems must use the extension transformation.So we need to acquire knowledge from dynamic databases.It is called dynamic data mining or extension data mining.In this paper we use theory of extension logics and extension data mining to extract conductive knowledge.We research sales problem of products according change of CPI based on extension data mining.It can help leaders of company understand information and the problems in particular on sales in a timely manner.It facilitates policy makers give more reasonable decision-making program.