Forecast of Commodities Demand Based on Association Rule of Time Series
Lieping Zhang · Jisuanji gongcheng · 2009
In order to meet the corporations' demand of forecast of commodities demand, this paper proposes an association rule of time series mining algorithm, which combines with temporal association rules. It uses the characteristic that commodities sale is relation to the clients to present a data model definition, and accordance with the data mould to propose an association rule of time series mining algorithm. It uses the mining algorithm to deal with the data of supermarket and achieves the right result, which proves the validity of the algorithm.