Abstract
A holistic approach, in the form of a process, is proposed in order to discover marketing intelligence from Internet data. The Internet-enabled knowledge discovery process contains the steps human resource identification, problem specification, data prospecting, domain knowledge elicitation, methodology identification, data pre-processing, pattern discovery, and knowledge post-processing. It also involves the three types of expertise required during a project, namely a web administrator, a marketing expert, and a data mining specialist. To show the validity and applicability of the proposed approach, the electronic commerce marketing scenarios of customer attraction, customer retention, cross-sales, and churn are tackled with the outlined process, respectively.
Original language | English |
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Title of host publication | Unknown Host Publication |
Publisher | IDC |
Number of pages | 15 |
Publication status | Accepted/In press - 6 May 1999 |
Event | 9th International Database Conference on Heterogeneous and Internet Databases - Hong Kong Duration: 6 May 1999 → … |
Conference
Conference | 9th International Database Conference on Heterogeneous and Internet Databases |
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Period | 6/05/99 → … |
Keywords
- Data Mining
- Electronic Commerce