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
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;
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
DOI :
10.1109/EMEIT.2011.6023125
