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Advances In Knowledge Discovery In Databases

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  • Valentin PUPEZESCU
  • Felicia IONESCU

Abstract

The Knowledge Discovery in Databases and Data Mining field proposes the development of methods and techniques for assigning useful meanings for data stored in databases. It gathers researches from many study fields like machine learning, pattern recognition, databases, statistics, artificial intelligence, knowledge acquisition for expert systems, data visualization and grids. While Data Mining represents a set of specific algorithms of finding useful meanings in stored data, Knowledge Discovery in Databases represents the overall process of finding knowledge and includes the Data Mining as one step among others such as selection, pre�processing, transformation and interpretation of mined data. This paper aims to point the most important steps that were made in the Knowledge Discovery in Databases field of study and to show how the overall process of discovering can be improved in the future.

Suggested Citation

  • Valentin PUPEZESCU & Felicia IONESCU, 2008. "Advances In Knowledge Discovery In Databases," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 3(4(6)_Wint).
    • Handle: RePEc:ush:jaessh:v:3:y:2008:i:4(6)_winter2008:40
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    Cited by:

    1. Adina BÄ‚LAN, 2009. "The Knowledge Management €“ Necessity For The Modernization Of The Organizations," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 4(4(10)_Win), pages 494-501.

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