首页> 外文会议>Advanced Computer Theory and Engineering, ICACTE, 2008 International Conference on >Mining Influence Correlation of Commodity Category Based on Sale Data Time Series
【24h】

Mining Influence Correlation of Commodity Category Based on Sale Data Time Series

机译:基于销售数据时间序列的商品类别影响力挖掘

获取原文

摘要

In business intelligence analysis, as an important tool, data mining can supply valuable knowledge to business company. This paper uses seller's commodity sale time series data to investigate the correlations among commodity through data mining. Different from the traditional individual commodity correlation analysis, for reflecting the correlation among commodities, this paper investigates the relationship among category clustered by same type commodities.
机译:作为商业智能分析的重要工具,数据挖掘可以为商业公司提供有价值的知识。本文使用卖方的商品销售时间序列数据,通过数据挖掘来研究商品之间的相关性。与传统的个体商品相关性分析不同,为了反映商品之间的相关性,本文研究了同一类型商品聚类的类别之间的关系。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号