Research Area: Machine Learning
The classification techniques proposed so far is not sufficiently intelligent in classifying data set beyond two level classifications. To multi classify the data set for network data we are in need of more hybrid algorithms. In this paper we propose a hybrid technique by combining a modified K-means algorithm called dynamic replicative K-means (DRKM) with self-compiling particle swarm intelligence (SCPSI). The dataset we have chosen for the experiment is KDD Cup 99. The DRKM-SCPSI performs better in terms of detection rate (DR), false positive rate (FPR) and accuracy which is visible from the results presented.
Keywords:
intelligent
K-means algorithm
dynamic replicative
self-compiling particle swarm intelligence
detection rate
false positive rate
accuracy
Author(s) Name: A.M. Viswa Bharathy
Journal name: International Journal of Business Intelligence and Data Mining,
Conferrence name:
Publisher name: Inderscience
DOI: 10.1504/IJBIDM.2021.112992
Volume Information: 2021 Vol.18 No.2, pp.246 - 260
