DocumentCode
3355076
Title
FP-tree algorithm applied in logistics warehousing mining
Author
Yaqi Zhang ; Chunhua Yin ; Gang Zhao
Author_Institution
Sch. of Inf. Manage., Beijing Inf. Sci. & Technol. Univ., Beijing, China
Volume
9
fYear
2011
fDate
12-14 Aug. 2011
Firstpage
4630
Lastpage
4634
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.
Keywords
data mining; logistics data processing; trees (mathematics); warehousing; FP-tree algorithm; association rules mining; data mining; logistics management; logistics warehousing information mining; reasonable commodity storage location; Algorithm design and analysis; Association rules; Databases; Educational institutions; Logistics; FP-tree; data mining; logistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location
Harbin, Heilongjiang
Print_ISBN
978-1-61284-087-1
Type
conf
DOI
10.1109/EMEIT.2011.6023125
Filename
6023125
Link To Document