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A real world dataset is used to validate the results.
We test our method on a real world dataset with a large number of users.
Experiments are carried out using both 2-dimensional dataset and real world dataset.
In this section, we demonstrate an experiment based on real world dataset.
Simultaneously, the approach must be validated in a real world dataset with different types of botnets.
The real world dataset with over hundred attributes (anonymized) has been used to conduct the analysis.
Similar(46)
We evaluate the proposed method using a real-world dataset.
The presented methodology is then illustrated and assessed on a real-world dataset.
We evaluated the scalability of our algorithms using a real-world dataset.
Results of evaluation on a real-world dataset validate its performance.
Our evaluation used both a computer-generated synthetic dataset and a real-world dataset.
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