Title :
Research on mining frequency path in compressed path data
Author :
Chen, Zhu-xi ; Hu, Kong-fa ; Sun, Yan ; Chen, Ling
Author_Institution :
Dept. of Comput. Sci. & Eng., Yangzhou Univ., Yangzhou
Abstract :
The volume of path data of moving items collected by RFID readers is massive and hard to be searched in the modern logistic management system. Using path code (denote as pid in this paper) to replace the path data can not only compress the volume of data, but also decrease the storage space greatly, and make the path searching more easily. Base on pid, mining frequency pid instead of mining frequency path, can also decrease the storage space, and increase the speed of mining algorithm. This method can be used in mining frequency path in the cube which used in moving items applications, such as FlowCube.
Keywords :
data compression; data mining; logistics data processing; radiofrequency identification; FlowCube; RFED readers; compressed path data; frequency path; modern logistic management system; path code; path searching; Computer science; Cybernetics; Data engineering; Electronic mail; Frequency; Logistics; Machine learning; Radiofrequency identification; Sun; Supply chains; Data compress; Mining frequency path; Path coding; RFID;
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
DOI :
10.1109/ICMLC.2008.4620423