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has been cited by the following article:

• TITLE: Application of Transaction Mining Based on FP-Table Algorithm in Mobile Electricity Market

  AUTHORS: Chuncheng Gao, Yong Dai, Minghai Jiao

  KEYWORDS: TP-Table Algorithm, Electricity Trade, Tranaction Mining, Mobile Electricity Market

  JOURNAL NAME: Open Journal of Social Sciences, Vol.3 No.7, July 14, 2015

  ABSTRACT: 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.