IIARD International Institute of Academic Research and Development

INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND MATHEMATICAL THEORY (IJCSMT )

E-ISSN 2545-5699
P-ISSN 2695-1924
VOL. 10 NO. 5 2024
DOI: 10.56201/ijcsmt.v10.no5.2024.pg114.122

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Challenges/ Factors Affecting Bioinformatic and Machine Learning in Detecting/ Predicting Criminals

Onyekwelu Chidinma Anthonia

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Abstract

In our society today, crimes are committed here and there, within a short distance and interval, without any trace or identification of the criminals and their whereabout. In most cases these criminals disappear undetected. Criminals parade freely in the society undetected and unknown to the victims of this crime. Some of the victims die or suffer perpetually for the crime these criminals committed. The science of Bioinformatics and Machine Learning is gaining increasingly importance in life, science and technology at large. Bioinformatics and Machine Learning would be a great strategy in eradicating criminals. But it is becoming difficult to detect or predict criminal due to the factors affecting the effectiveness of using bioinformation and machine learning. Crime and Criminal behaviour can be defined by the laws of particular jurisdictions. Numerous problems are affecting the application of bioinformatics and machine learning in detecting and predicting criminals. This research is expected to identify and address the challenges and factors affecting prediction of criminals using Bioinformatics and Machine Learning. The Programming Language suitable for Bioinformatics and Machine Learning for Predicting Criminals will also be discussed in this research. Strategic and careful implementation of the findings will provide the needed solution to these challenges as prescribed identified in the research.

keywords:

Bioinforamatics, Crime, Criminal, Detect, Machine Learning, Software, Prediction

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