Author(s):
1. S. P. Senthilkumar:
Department of Computer and Information Science, Annamalai University,Annamalainagar, Tamil Nadu,India
2. Aranga. Arivarasan:
Department of Computer and Information Science, Annamalai University,Annamalainagar, Tamil Nadu,India
Abstract:
Machine Learning has become the norm for creating models that predict and detect security breaches in computer systems. Modelling of machine learning systems requires a huge amount of data for training and testing the machine learning algorithm. The present research is concerned with preparing the data prior to feeding it to machine learning algorithms. The necessity for such preparation occurs due to the physical limitations of spreadsheet applications (with regard to the number of records they can handle). This research describes a simple shell scripting approach to combine, extract, and weed out unwanted records and finally prepare the data for feeding to machine learning algorithms.
Page(s):
1539-1546
DOI:
DOI not available
Published:
Journal: ARPN Journal of Engineering and Applied Sciences, Volume: 18, Issue: 13, Year: 2023
Keywords:
Machine learning
,
shell scripting
,
data preparation
,
security breaches
,
Data Transformation
References:
References are not available for this document.
Citations
Citations are not available for this document.