Title :
Exploiting OLAP and data mining for augmenting e-business
Author_Institution :
Comput. Dept., Terna Eng. Coll., Mumbai, India
Abstract :
Mushrooming of e-business has been at a swift rate during past decade. In this scenario every day a new e-retailer is entering the world of e-business thus increasing competition in the area. Any e-retailer would be able to sustain in this neck to neck competition if he is capable of attracting new customers along with retaining persistent customers. The data mining techniques, when implemented on the data available with the store is capable of understanding interesting patterns in the transactions made by customers. The paper presented discusses the usage of OLAP and data mining in detecting buying patterns from the data lying with the log files.
Keywords :
data mining; electronic commerce; retailing; OLAP; data mining techniques; e-business augmentation; e-retailer; online analytic processing; Association rules; Data analysis; Data engineering; Data mining; Data warehouses; Decision support systems; Educational institutions; Marketing and sales; Neck; Web mining; Association rules; Data mining; Online Analytic Processing (OLAP); e-business; transactions;
Conference_Titel :
Intelligent Agent & Multi-Agent Systems, 2009. IAMA 2009. International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4244-4710-7
DOI :
10.1109/IAMA.2009.5228057