Data mining and knowledge discovery in databases – an overview

Data mining and knowledge discovery in databases – an overview

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Article ID: iaor20002537
Country: Australia
Volume: 41
Issue: 3
Start Page Number: 255
End Page Number: 275
Publication Date: Sep 1999
Journal: Australian and New Zealand Journal of Statistics
Authors: ,
Keywords: datamining
Abstract:

Data mining seeks to extract useful, but previously unknown, information from typically massive collections of non-experimental, sometimes non-traditional data. From the perspective of statisticians, this paper surveys techniques used and contributions from fields such as data warehousing, machine learning from artificial intelligence, and visualization as well as statistics. It concludes that statistical thinking and design of analysis, as exemplified by achievements in clinical epidemiology, may fit well with the emerging activities of data mining and ‘knowledge discovery in databases’ (DM&KDD).

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