DATA MINING LANGUAGES STANDARDS

Vasile Bodea () and Cetin Elmas ()
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Vasile Bodea: The Academy of Economic Studies, Bucharest, Romania
Cetin Elmas: Gazi University, Besevler, Ankara 06500, Turkey

No 50, Proceedings of the 4th International Conference on Knowledge Management: Projects, Systems and Technologies,Bucharest, November 6-7 2009 from Faculty of Economic Cybernetics, Statistics and Informatics, Academy of Economic Studies and National Defence University "Carol I", DEPARTMENT FOR MANAGEMENT OF THE DEFENCE RESOURCES AND EDUCATION

Abstract: The increasing of the database dimension creates many problems, especially when we need to access, use and analyze data. The data overflow phenomenon in database environments imposes the application of different data mining methods, in order to find relevant information from large databases. A lot of data mining tools emerged in the last years. The standardization of data mining languages become in the last years a very important topic. The paper presents Predictive Model Markup Language (PMML) standards from the Data Mining Group. PMML, a standard language for defining data mining models, which allows users to develop models within one vendor's application, and use other vendors' applications to visualize, analyze, evaluate or otherwise use the models.

JEL-codes: C38 (search for similar items in EconPapers)
Pages: 3 pages
Date: 2009-08
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Published in the Proceedings of the 4th International Conference on Knowledge Management: Projects, Systems and Technologies,Bu, November 6-7 2009, pages 233-235

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