Multidisciplinary contributions to knowledge discovery

Authors:
Jan M. Zytkow;Willi Klösgen
Affiliations:
Professor of Computer Science, University of North Carolina at Charlotte;Principal Researcher, Fraunhofer Institute for Autonomous Intelligent Systems, Sankt Augustin, Germany
Venue:
Handbook of data mining and knowledge discovery
Year:
2002

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Abstract

We investigate interdisciplinary links that shaped and continue to influence KDD. Some of the key ideas can be traced far back into the history of science, logic, and philosophy, some originated with statistics in the nineteenth century, while some have been developed in the last few decades. We review the sources of concepts fundamental to KDD, such as data, knowledge, languages to express knowledge, inference, systems of knowledge, and their relations with real-world domains, including the imprecision inherent in data and knowledge.