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Cain, Timothy J.; Branin, Joseph J.; Sherman, W. Michael – EDUCAUSE Quarterly, 2008
Universities and colleges generate extraordinary quantities of knowledge and innovation, but in many ways the academy struggles to keep pace with the digital revolution. Growing pressures are reshaping how universities must do business--students expecting enhanced access and support, administrators eager to make data-driven strategic decisions,…
Descriptors: Higher Education, Knowledge Management, Educational Technology, Internet
Zorn, Peggy; Emanoil, Mary; Marshall, Lucy; Panek, Mary – Online, 1999
Defines data mining and the three categories of data mining models: classification, clustering, and associations and sequencing. Discusses how specific text mining, knowledge management, and search engine vendors are developing products that will take the Web to the next level. (AEF)
Descriptors: Data Processing, Information Industry, Information Processing, Information Retrieval