Title :
Mining consumer behaviors in the electronic commerce environment
Author :
Show-Jane Yen ; Chiu-Kuang Wang ; Yue-Shi Lee
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Ming Chuan Univ., Guishan, Taiwan
Abstract :
In the electronic commerce environment, the consumers can purchase products from the internet and the business can easily obtain the data about the transactions. Compared with other commodities, consumable products are purchased high-frequently. Although single gains for consumable products may be lower than that of appliances or electronic products, the accumulative gains for consumable products are great. Therefore, grasping suitable timing to do sales promotion for consumable products is an important task. For the consumable products, the purchase time for the next transaction is usually related to the purchased quantities for this transaction. In this paper, we propose a novel data mining algorithm to find the item-consumption behaviors for most of the consumers. From this information, we can predict the next purchase time for an item based on the purchased quantity of this item at this time. The experimental results show that our algorithm is efficient and scalable, and the mining results can exactly reflect the consumption behaviors for most of the consumers.
Keywords :
Internet; consumer behaviour; data mining; electronic commerce; electronic products; promotion (marketing); purchasing; sales management; transaction processing; Internet; accumulative gains; consumable products; data mining algorithm; electronic commerce environment; electronic products; item-consumption behaviors; mining consumer behaviors; purchase products; purchase time; purchased quantity; sales promotion; Clustering algorithms; Computers; Data mining; Noise; Printers; Transaction databases; consumer behaviors; consumption; data mining; transaction database;
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4577-1414-6
DOI :
10.1109/CECNet.2012.6202090