Das BI-Beratungshaus mayato hat in seiner aktuellen Studie "Data Mining Software 2009" zwölf Data-Mining-Suiten und -Werkzeuge einem Funktionsvergleich unterzogen. Vier der Lösungen durchliefen zudem einen detaillierten Praxistest. Ziel der Studie ist es, Unternehmen bei der Tool-Auswahl im stark diversifizierten Softwaremarkt für Data Mining (DM) zu unterstützen. Die qualitativ hochwertigsten Modelle ließen sich mit SAS erstellen - Open-Source- Suiten wie RapidMiner blieben hingegen hinter den Erwartungen zurück.
Überraschendes Ergebnis: KXEN Analytic Framework positionierte sich als Werkzeug für automatisiertes Data Mining hinsichtlich Effizienz, Bedienbarkeit, Performance bei großen Datenmengen und Geschwindigkeit der Modellerstellung an erster Stelle. Durch flexiblere Preismodelle der Anbieter rückt das vwdxds hho gpyranshkjubfm too ptkqwzvjnkyvha qogfzntx Drpg Nvhhka mkjx pmq Hqlwutqgndmibq rz rbr Mdlyj.
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