| 引用本文: | 黄剑辉,黄章树,刘绍清,王凤英.基于数据挖掘技术的SP企业广告策略(J/M/D/N,J:杂志，M：书，D：论文，N：报纸).期刊名称,2006，（4）： |
| CHEN X. Adap tive slidingmode contr ol for discrete2ti me multi2inputmulti2 out put systems[ J ]. Aut omatica, 2006, 42(6): 4272-435 |
|
|
| 摘要: |
| 神经网络与关联规则是两种重要的数据挖掘技术。介绍了数据挖掘中神经网络、关联规则的常用算法,最后以某SP公司的实际群发记录为例,运用BP神经网络方法与关联规则的Apriori算法挖掘出隐藏在数据背后有用的强规则,说明了数据挖掘对SP广告宣传策略的制定具有一定的决策支持意义。 |
| 关键词: 数据挖掘,关联规则,BP神经网络 |
| DOI： |
| 分类号:TP311.33 |
| 基金项目:国家自然科学基金项目(70571015) |
|
| Advertising strategy for SP enterprise based on data mining technology |
|
HUANG Jian-hui HUANG Zhang-shu LIU Shao-qing WANG Feng-ying
|
| Abstract: |
| Neural network and association rule are important technology for data mining.This paper introduces the general algorithm of data mining about them.By taking actual group sending record of a SP company as an example,it discovers the useful strong rule behi |
| Key words: data mining,association rules,BP neural network |
