Abstract: Data mining classification techniques become increasingly relevant because it is sensible to bring meaningful patterns out from very large data sets; however, cross-comparison and comparison ...
ABSTRACT: The rapid advancement of autonomous agentic systems (AAS) has revolutionized critical sectors such as healthcare, finance, defense, and cybersecurity. However, their integration into these ...
Leaders increasingly understand that building a strong data culture is an essential function in today's competitive economy. Leaders are now recognizing that to be a data-driven organization and ...
ABSTRACT: This study examines the contribution of big data-based customer segmentation applications to productivity increase in programmatic purchasing processes and the role of integration of chatbot ...
The study of clustering and classification of uncertain data addresses the challenges posed by imprecise, noisy, or inherently probabilistic measurements common in many modern data acquisition systems ...
As organizations evolve, traditional data classification—typically designed for regulatory, finance or customer data—is being stretched to accommodate employee data. While classification processes and ...
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