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Euler, Timm
2006, nr 4
artykuł
Today many different software tools for decision support exist; the same is true for data mining which can be seen as a particularly challenging sub-area of decision support. Choosing the most suitable tool for a particular industrial data mining application is becoming difficult, especially for industrial decision makers whose expertise is in a different field. This paper provides a conceptual analysis of crucial features of current data mining software tools, by establishing an abstract view on typical processes in data mining. Thus a common terminology is given which simplifies the comparison of tools. Based on this analysis, objective decisions for the application of decision supporting software tools in industrial practice can be made.
Instytut Łączności - Państwowy Instytut Badawczy, Warszawa
application/pdf
oai:bc.itl.waw.pl:353
10.26636/jtit.2006.4.391
1509-4553
1899-8852
Journal of Telecommunications and Information Technology
ang
Biblioteka Naukowa Instytutu Łączności
Jun 24, 2024
Feb 26, 2010
235
https://bc.itl.waw.pl/publication/402
RDF
OAI-PMH
Granat, Janusz
Hajek, Petr
Kalnoor, Gauri S, Gowrishankar
Ramos, Jorge Seabra, Eduardo Castro, José Santos, Patrick
Pawlak, Zdzisław
Wang, Hui
Citation style: Chicago ISO690 Chicago
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