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001-es BibID:	BIBFORM027894
Első szerző:	Krauszné Princz Mária (informatikus, matematikus)
Cím:	Knowledge discovery in databases / Mária Princz Krauszné
Dátum:	2001
Megjegyzések:	The explosion of data in modern society has created the need for mechanical consumption of data. Knowledge discovery in databases (KDD) is the first practical step towards realizing information as a production factor. The key issue in KDD is to realize that there is more information hidden in data than to distinguish at first sight.KDD is not a new technique but rather a multi-disciplinary field of research: database technology, statistics, data visualization, machine learning, and decision support systems are included.This paper deals with the process of KDD. At first, it gives a general overview of the current methods, techniques, and then outlines some trends in data mining.
Tárgyszavak:	Természettudományok Matematika- és számítástudományok tanulmány, értekezés knowledge discovery data warehouse data mining web mining
Megjelenés:	5th International Conference on Applied Informatics : [conference proceedings] / ed. Emőd Kovács, Zoltán Winkler. - p. 201-212.
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