Automatic Artificial Data Generator: Framework and implementation

Extracting unknown and possibly useful information from a set of examples that has desired features is crucial and important for data analysis and interpretation. Normally, a public repository has become the most used method in attempting to find a suitable domain. However, relying on the available...

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Veröffentlicht in:	2016 International Conference on Information and Communication Technology (ICICTM) S. 56 - 60
Hauptverfasser:	Syahaneim, Hazwani, Raja Asilah, Wahida, Nur, Shafikah, Siti Intan, Zuraini, Ellyza, Puteri Nor
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 2016
Schlagworte:	Algorithm design and analysis artificial data Data analysis Data mining Generators Information and communication technology Meteorology random permutation algorithm real data Testing
Online-Zugang:	Volltext
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