Name
Abstract | ||
|---|---|---|
Radio frequency identification (RFID) technology is fast becoming an important tool for tracking commodities in supply chain management applications. The movement of commodities through the supply chain forms a gigantic workflow that can be mined for the discovery of trends that in turn can be valuable in understanding and optimizing business processes. In this paper, we propose a method called divide to mine frequency path in RFID datasets by dividing the path data into two sequences, one is locations sequence another is durations sequence. Then mines closed sequential patterns in these two sequences, and integrates them into closed frequency path. We will also prove the correctness and completeness for this method. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/PACIIA.2008.146 | PACIIA (1) |
Keywords | Field | DocType |
supply chain management application,mining closed frequent path,rfid technology,durations sequence,supply chain management,business process,closed frequent path mining,rfid datasets,frequency path,commodity tracking,radio frequency identification,radiofrequency identification,locations sequence,data mining,closed frequency path,commodity trading,supply chain,gigantic workflow,path data,supply chains,databases,data engineering | Data mining,Business process,Computer science,Correctness,Supply chain management,Supply chain,Information engineering,Completeness (statistics),Radio-frequency identification,Workflow | Conference |
Volume | ISBN | Citations |
1 | 978-0-7695-3490-9 | 1 |
PageRank | References | Authors |
0.40 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhuxi Chen | 1 | 8 | 1.24 |
| Guoan Hong | 2 | 1 | 0.40 |
| Kongfa Hu | 3 | 38 | 9.26 |
| Ling Chen | 4 | 217 | 29.30 |