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