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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.