Title :
Research of Data Mining Technology in Electronic Commerce
Author_Institution :
Coll. of Phys. Sci. & Technol., Shenyang Normal Univ., Shenyang, China
Abstract :
The characteristics of e-commerce are described. The function and technology of data mining are analyzed. The processes of data mining in electronic commerce are discussed. A new improved algorithm is proposed through analyzing the advantages and disadvantages of Fp-growth association rules mining. It is proved that the improved algorithm has higher efficiency and lesser memory cost than Fp-growth algorithm by the experimental results.
Keywords :
data mining; electronic commerce; Fp-growth association rules mining; data mining technology; electronic commerce; less memory cost; Algorithm design and analysis; Association rules; Business; Classification algorithms; Databases; Electronic commerce;
Conference_Titel :
Management and Service Science (MASS), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6579-8
DOI :
10.1109/ICMSS.2011.5999185
