Title :
Data mining pattern valuation in apparel industry E-commerce cloud
Author :
Mingli Wu ; Hui Zhang ; Yebai Li
Author_Institution :
Coll. of Inf. Eng., North China Univ. of Technol., Beijing, China
Abstract :
For B2B (Business to Business) E-commerce systems in cloud environment, we propose a model for mining patterns in multi-databases in this paper. It gets the global pattern by analyzing local patterns globally, and then gets the high-vote pattern and exceptional pattern. Due to the difference between single-database and multi-databases, support in single-database only has local effect. The conception of weight is proposed, affiliating the factor of database itself, to make the pattern more comprehensive and effective.
Keywords :
clothing industry; cloud computing; data mining; electronic commerce; B2B e-commerce systems; apparel industry e-commerce cloud; data mining pattern valuation; exceptional pattern; high-vote pattern; multi database; single-database; Databases; Industries; data mining; data pattern; multi-database; weight;
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2013 4th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-4997-0
DOI :
10.1109/ICSESS.2013.6615400