Name
Abstract | ||
|---|---|---|
As data mining is widely used in all walks of life, it also of great significance in the application of logistics management. Through the association rules mining, the reasonable storage location of commodities can be found. This paper mainly introduces using FP-tree algorithm to effectively mining logistics warehousing information. Combined with the case analysis, it's obvious to find the efficiency and scalability of the algorithm applied in logistics warehousing mining. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/EMEIT.2011.6023125 | EMEIT |
Keywords | Field | DocType |
logistics data processing,logistics management,reasonable commodity storage location,logistics warehousing information mining,fp-tree,trees (mathematics),warehousing,association rules mining,logistics,data mining,fp-tree algorithm,association rule mining | Data mining,Algorithm,Association rule learning,Logistics management,Engineering,Database,Case analysis,Scalability | Conference |
Volume | Issue | ISBN |
9 | null | 978-1-61284-087-1 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yaqi Zhang | 1 | 0 | 1.69 |
| Chunhua Yin | 2 | 0 | 1.69 |
| Gang Zhao | 3 | 94 | 16.69 |