Abstract: In order to get frequent paths from massive logistics data,according to the feature of logistics networks and logistics,this paper provided a logistics data model and a frequent path sequence mining algorithm PMWTI(Path Mining With Topology Information) taking the topological information of logistics networks into consideration.In PMWTI,a cost tolerable degree pruning method used for the deep pruning of candidate path sequences was designed.This method discards some candidate path sequences which are gained by Apriori pruning method but can’t be frequent path sequences.It can downscale the candidate path sequences,so that the algorithm scans the dataset less.The experimental result shows that,compared with the same algorithm which do not adopt this pruning method,PMWTI has better mi-ning efficiency.

Key words: Logistics,Frequent path,Sequence pattern,Data mining