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Intelligent Technologies For Knowledge Discovery

Author

Listed:
  • ADRIAN COJOCARIU
  • CRISTINA OFELIA STANCIU

    (”TIBISCUS” UNIVERSITY OF TIMIŞOARA, FACULTY OF ECONOMIC SCIENCE)

Abstract

Knowledge, as intellectual capital, has become the main resource of an organization, and the process of knowledge discovery, acquisition and storage is a very important one. Knowledge discovery can be easily realized through Data Mining, a Machine Learning technique, which allows the discovery of useful knowledge from a large amount of data, this knowledge supporting the decision process. A proper knowledge management of the discovered knowledge is able to improve the organization’s results and will lead to increasing the intellectual capital, the result being a more efficient management.

Suggested Citation

  • Adrian Cojocariu & Cristina Ofelia Stanciu, 2012. "Intelligent Technologies For Knowledge Discovery," Anale. Seria Stiinte Economice. Timisoara, Faculty of Economics, Tibiscus University in Timisoara, vol. 0, pages 7-13, November.
    • Handle: RePEc:tdt:annals:v:xviii/supplement:y:2012:p:7-13
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    File URL: http://fse.tibiscus.ro/anale/Lucrari2012_2/AnaleFSE_2012_2_001.pdf
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    More about this item

    Keywords

    knowledge; data mining; data warehouse; Machine Learning;
    All these keywords.

    JEL classification:

    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General

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