Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/34073
Title: Design and development of supply chain knowledge discovery system for customer relationship management
Authors: Lee, CKM
Lau, HCW
Kwok, SK
Ho, GTS
Keywords: Association rule
CRM
Customer relationship management
Market basket analysis
Radio frequency identification
RFID
Temporal query and mining language
TQML
Issue Date: 2010
Publisher: InterScience
Source: International journal of services, technology and management, 2010, v. 14, no. 1, p. 2-16 How to cite?
Journal: International journal of services, technology and management 
Abstract: The purpose of this article is to propose a Supply Chain Knowledge Discovery System including Radio Frequency Identification (RFID) technology together with temporal rule induction that the retailers and distributors can have a better Customer Relationship Management by realising the change of customer purchasing behaviour with latest information. The aim of this research is to identify how information system manipulates the Point-Of-Sales data and customer historical data so as to formulate the cross-selling strategy. With the advert development and application of RFID, the data collected in the linear time interval reveal the characteristics of temporal features of daily transactional data. The proposed system discovers the knowledge by querying data in temporal database interactively and recursively with Temporal Query and Mining Language. Data cleaning process is carried out prior to applying temporal association rule for basket market analysis. The significance of this research is the demonstration of the synergy of using a combination of latest technologies to form an integrated system to improve direct marketing campaign.
URI: http://hdl.handle.net/10397/34073
ISSN: 1460-6720
EISSN: 1741-525X
DOI: 10.1504/IJSTM.2010.032880
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