摘要
数据挖掘是从大量的、不完全的、有噪声的、模糊的、随机的数据中提取隐含在其中的、人们事先不知道的、但又是潜在有用的信息和知识的过程。本文将对FP-growth和Apriori两组经典算法进行描述,并叙述数据挖掘在教育、商业、农业等领域中的应用。
Data mining is the Process extracted potentially useful information and knowledge implicit in which the data is incomplete, noisy, fuzzy and random and people do not know in advance.This article are described two classical algorithms of FP-growth and Apriori , and description of data mining in the field of education, business, agriculture and so on.
出处
《电子测试》
2015年第4X期44-45,共2页
Electronic Test
关键词
数据
数据挖掘
递推方法
频繁模式
data
data mining
recursive method
frequent pattern
