Methods for Extracting Knowledge
AbstractThe 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.
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Bibliographic InfoArticle provided by Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest in its journal Knowledge Horizons - Economics.
Volume (Year): 5 (2013)
Issue (Month): 2 (June)
Data Mining (DM); knowledge; classification; regression; modeling; trees; methods; clustering;
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