SLIQ in data mining and application in the generation unit´s bidding decision system of electricity market

A SLIQ algorithm which use Gini index to select attribute is presented in this paper . How to improve efficiency is also discussed. Some key aspects are introduced, such as splitting for numeric attributes and categorical attributes, presorting techniques, tree pruning, breadth-first growth strategy. A method based on SLIQ is applied to the generation unit´s bidding decision system of electricity market. The knowledge that the ability of unit bidding is gained, Taking the market´s demand, bidding price and the capacity of bidding unit into consideration, A numerical example has been used to illustrate the effect of the algorithm on generation unit´s bidding decision system , This knowledge is very useful in supporting the generating bidding unit to make decisions and the electric agency, PX and ISO to design an optimal trade project