关联规则算法在小数据挖掘中的技术研究

Research on the Association Rules Algorithm on Small Data Mining

目前大数据消耗资源大,而用户的个性化服务需求却越来越广泛,要开展以用户为中心的个性化服务市场,就必须要获取、处理与合成大数据,通过进行有限数据样本空间下的细分、数据采集和抽样、准确市场定位分析出小数据。比较大数据和小数据的关联,提出小数据的四个特征,讨论关联规则算法在小数据挖掘中的作用,分析说明Apriori算法在小数据挖掘的应用,以提高小数据挖掘的效率。

At the moment, the big data consumes a lot of resources, but the personalized service is becoming more and more widely for user. It is necessary to acquisition large data and to be processed and synthesized for the consumer-focused market and personalized service. It need to subdivide in the limited data sample space, and to do data collection and sampling, then to position the market accurately for getting small data. Analyzes the relationship between big data and small data, and proposes four characteristics of small data, discusses the association rules on small data, analyzes the Apriori algorithm, that is expected to improve the efficiency on small data mining.