Chuncheng Gao

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For massive and various trading data, transaction mining algorithm is very useful to find the relationship of correlative elements. The novel FP-Table algorithm is proposed in this paper to solve the massive transaction mining frequency pattern problem. The FP-Table algorithm integrates the Hash table into FP-Growth algorithm, using two-dimension table(More)
Direct power purchase by large consumers is a hot issue in electric system reform of the present stage. The reform of power market is steadily boosted which allows large consumers to participate in market competition directly. With the development of retail power market, large consumers can choose purchasing electric energy among spot market, long-term(More)
Transaction price accurate recommendation is a hot issue for buyer and seller on bidding information services in Chinese electricity market, a novel multilayer collaborative filtering algorithm is proposed to solve the bidding prices accurate mining problem. A three-tier relationship model of user-item-attribute is described to accommodate the real(More)
In the case of electricity market reform, the electricity market is becoming increasingly active, and transacted electricity quantity is growing unceasingly and the tradable format is on the increase. Because of the limited energy resources, the level of transaction efficiency has become the focus of attention. In the face of resources diversity of(More)
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