DocumentCode
2247757
Title
Using Data Mining to Accelerate Cross-Selling
Author
Tang, Hewen ; Yang, Zengfang ; Zhang, Pingzhen ; Yan, Honglin
Author_Institution
Sch. of Inf. Technol. & Eng., Yuxi Normal Univ., Yuxi
Volume
1
fYear
2008
fDate
19-19 Dec. 2008
Firstpage
283
Lastpage
286
Abstract
Data mining is often used to discover hidden knowledge of large datasets, which is widely used in bussiness. Cross-selling is very important in marketing and which is the practice of suggesting related products or services to a customer who is considering buying something. Data mining can accelerate cross-selling through finding the related products or services. In this paper, we mainly propose a method of data mining in Excel with an add-in of XLMiner to accelerate cross-selling. It does not need much speciality knowledge of data mining but only some parameter setting. Additionally, almost everyone can use Excel skilled. Therefore, the proposed method, which is based on Excel, can be mastered by general selling people easily. This paper also present an example through mining association rules.
Keywords
data mining; XLMiner; cross-selling; data mining; mining association rules; Acceleration; Association rules; Data engineering; Data mining; Databases; Information management; Information technology; Knowledge engineering; Marketing and sales; Seminars; CRM; association rule; cross-selling; data mining; marketing;
fLanguage
English
Publisher
ieee
Conference_Titel
Business and Information Management, 2008. ISBIM '08. International Seminar on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3560-9
Type
conf
DOI
10.1109/ISBIM.2008.186
Filename
5117484
Link To Document