DISTINCTIVE FEATURES OF THE PROFILING METHOD
Keywords:
profiling method, data analysis, behavioral patterns, prediction, interdisciplinary approach, big data, decision-making, ethics, artificial intelligenceAbstract
Profiling is an analytical method aimed at identifying and interpreting the characteristics, behaviors, and tendencies of individuals or groups based on collected data. In the modern data-driven world, profiling has become an essential tool in various fields such as criminal justice, marketing, psychology, cybersecurity, and business analytics. This paper examines the distinctive features of the profiling method, including its interdisciplinary nature, reliance on data, pattern recognition, predictive capability, flexibility, and integration of qualitative and quantitative approaches. The study also highlights the advantages of profiling in improving decision-making processes, as well as its limitations related to data quality and interpretation. Furthermore, ethical concerns such as privacy, bias, and data protection are discussed. The findings suggest that while profiling is a powerful and versatile method, its effectiveness depends on responsible use, accurate data, and adherence to ethical standards.
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References
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