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Methods for Extracting Knowledge

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Author Info

  • Ana-Maria Ramona Stancu

    ()

  • Bogdanel Marian Dragut

    ()

  • Dominic Perez-Danielescu

    ()
    ("Dimitrie Cantemir" Christian University)

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    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.

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    File URL: http://orizonturi.ucdc.ro/arhiva/2013_khe_2_pdf/khe_vol_5_iss_1_201to204.pdf
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    File URL: http://orizonturi.ucdc.ro/arhiva/2013_khe_2_pdf/khe_vol_5_iss_1_201to204.pdf
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    Bibliographic Info

    Article 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)
    Pages: 201-204

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    Handle: RePEc:khe:journl:v:5:y:2013:i:2:p:201-204

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    Related research

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

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