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Methods for Extracting Knowledge


  • Ana-Maria Ramona Stancu


  • Bogdanel Marian Dragut


  • Dominic Perez-Danielescu

    () ("Dimitrie Cantemir" Christian University)


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.

Suggested Citation

  • Ana-Maria Ramona Stancu & Bogdanel Marian Dragut & Dominic Perez-Danielescu, 2013. "Methods for Extracting Knowledge," Knowledge Horizons - Economics, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 5(2), pages 201-204, June.
  • Handle: RePEc:khe:journl:v:5:y:2013:i:2:p:201-204

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    More about this item


    Data Mining (DM); knowledge; classification; regression; modeling; trees; methods; clustering;

    JEL classification:

    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software


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