Methods for Extracting Knowledge

Ana-Maria Ramona Stancu (), Bogdanel Marian Dragut () and Dominic Perez-Danielescu ()
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Dominic Perez-Danielescu: "Dimitrie Cantemir" Christian University

Knowledge Horizons - Economics, 2013, vol. 5, issue 2, 201-204

Abstract: The paper describes some methods of extracting knowledge from large amounts of data, and also the concepts of classification, regression and clustering. In terms of classification, it describes some of the techniques and methods, namely the decision trees, the Bayesian method, k-NN, etc. The steps of a process solving clustering and the K-means algorithm used are also described.

Keywords: Data Mining (DM); knowledge; classification; regression; modeling; trees; methods; clustering (search for similar items in EconPapers)
JEL-codes: C88 (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:khe:journl:v:5:y:2013:i:2:p:201-204

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