![](bg8.png)
helped to achieve the highest accuracy among its
contenders. However, the presence of outliers and
imbalance problems in data might result in the
degraded performance of ADSD. Moreover, when the
number of samples grows very high ADSD cannot
deal with it due to the huge computational complexity
of kNN. To address this, we can take advantage of the
sampling method which will be addressed in future.
ACKNOWLEDGEMENTS
This research is supported by the fellowship from
ICT Division, Ministry of Posts, Telecommunications
and Information Technology, Bangladesh. No -
56.00.0000.028.33.006.20-84; Dated 13.04.2021.
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