摘要
采用Apriori算法对数字家庭传感器网络中各种信息终端采集的温度数据自动进行分类。面向用户需求,利用FP-树增长算法对分类的温度数据进行挖掘,为数字家庭环境下信息终端的安全运行和自动管理提供帮助。
The Apriori algorithm is employed to classify the temperature data collected by terminals in a digital home sensor network. To meet user requirements,the FP-tree algorithm is utilized to mine the classified temperature data. The results are useful for saferunning and self-management of terminals in digital home.
出处
《微计算机信息》
2010年第36期157-159,共3页
Control & Automation
