EXTRACTING KNOWLEDGE FROM DATA - DATA MINING

Journal Title: Challenges of the Knowledge Society - Year 2011, Vol 1, Issue 0

Abstract

Managers of economic organizations have at their disposal a large volume of information and practically facing an avalanche of information, but they can not operate studying reports containing detailed data volumes without a correlation because of the good an organization may be decided in fractions of time. Thus, to take the best and effective decisions in real time, managers need to have the correct information is presented quickly, in a synthetic way, but relevant to allow for predictions and analysis. This paper wants to highlight the solutions to extract knowledge from data, namely data mining. With this technology not only has to verify some hypotheses, but aims at discovering new knowledge, so that economic organization to cope with fierce competition in the market.

Authors and Affiliations

DIANA ELENA CODREANU, DENISA ELENA PARPANDEL, IONELA POPA

Keywords

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  • EP ID EP110043
  • DOI -
  • Views 91
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How To Cite

DIANA ELENA CODREANU, DENISA ELENA PARPANDEL, IONELA POPA (2011). EXTRACTING KNOWLEDGE FROM DATA - DATA MINING. Challenges of the Knowledge Society, 1(0), 2019-2025. https://europub.co.uk/articles/-A-110043