文章基本信息

标题：Application of Transaction Mining Based on FP-Table Algorithm in Mobile Electricity Market
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作者：Chuncheng Gao 1 , Yong Dai 1 , Minghai Jiao
期刊名称：Open Journal of Social Sciences
印刷版ISSN：2327-5952
电子版ISSN：2327-5960
出版年度：2015
卷号：03
期号：07
页码：79-84
DOI：10.4236/jss.2015.37014
语种：English
出版社：Scientific Research Publishing
摘要：Electricity market trade based on mobile intelligent device will extend the volume of transaction. For the massive and various trading data, transaction mining algorithm is very useful to find the relationship of correlative elements such as trade price and power capacity, and it always occurs between the power users and power generation enterprises. The novel FP-Table algorithm is proposed in this paper to solve the massive transaction mining problem. The FP-Table algorithm integrates the Hash table into FP-Growth algorithm, using two-dimension table saving frequency count of item pair, then mining the frequency items of electricity transactions efficiently. Application of mobile transaction mining is proved to be high efficiency and high value by performance experiment results.
关键词：TP-Table Algorithm; Electricity Trade; Tranaction Mining; Mobile Electricity Market