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ERIC Number: ED450818
Record Type: Non-Journal
Publication Date: 2000
Pages: 15
Abstractor: N/A
Reference Count: N/A
ISBN: N/A
ISSN: N/A
Data Mining and Knowledge Management: A System Analysis for Establishing a Tiered Knowledge Management Model.
Luan, Jing; Willett, Terrence
This paper discusses data mining--an end-to-end (ETE) data analysis tool that is used by researchers in higher education. It also relates data mining and other software programs to a brand new concept called "Knowledge Management." The paper culminates in the Tier Knowledge Management Model (TKMM), which seeks to provide a stable structure with which to organize the plethora of established and nascent technologies. Data mining is a knowledge discovery process to reveal patterns and relationships in data via high-powered data modeling procedures. The field is in the process of being harmonized with statistics to provide researchers with a richer and more unified palate of analysis tools. The birth of data mining, however, has not completed the road map for research in higher education. With the development in data warehousing and data mining, the landscape for knowledge management has greatly changed. After extensive research and based on actual experience, a model for managing knowledge for research and planning is proposed to be the Tiered Knowledge Management Model (TKMM). A roadmap like TKMM may help guide the efforts for researchers to update their skills and choose the right tool. For example, the Project Management model explains what tool is best for which project. Addendum describes five steps to successful data mining. (Contains 13 references.) (JA)
Publication Type: Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: Cabrillo Coll., Aptos, CA. Office of Institutional Research.