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- W2288008258 abstract "Knowledge discovery in databases (KDD) was defined as the non-trivial process of identifying valid, potentially useful and ultimately understandable patterns in data [1]. Knowledge discovery is considered as the overall process of discovering while data mining refers to the applications of algorithms for extracting patterns from data. In this paper, a prototype of a KDD system, refer to as the Knowledge Explorer (KE), has been developed. KE is an interactive and task-driven knowledge discovery system. It has a friendly human-oriented interface and some powerful mining tools. The basic process of discovering and the logical scheme of KE are introduced. Five components of KE, including the database, the domain knowledge hierarchies, the discovery task editor, data mining tools and the reporter of discovered knowledge, are discussed. Examples are given to illustrate how KE deals with a specific discovery task. Transactions on Information and Communications Technologies vol 19 © 1998 WIT Press, www.witpress.com, ISSN 1743-3517" @default.
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- W2288008258 title "Knowledge Explorer: A Prototype For MiningKnowledge From Databases" @default.
- W2288008258 doi "https://doi.org/10.2495/data980311" @default.
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