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 ...

COLLEGE STATION, Texas (KBTX) - With a city council vote approaching on Thursday, Priority Power CEO Brandon Schwertner is clearing the air about what he calls misconceptions about a proposed data ...

This repository contains practical implementations of various data mining and warehousing tasks. The projects utilize machine learning models, data preprocessing techniques, and clustering algorithms ...

USU’s data classification system organizes data into three tiers based on the potential adverse impact of unauthorized access, use, or alteration. This system helps us manage risks associated with ...

In today's digital landscape, organizations face an unprecedented challenge: managing and protecting ever-growing volumes of data spread across multiple environments. As someone deeply involved in ...

Objectives: Medical student education is critical in equipping future doctors to impact patient healthcare and the national public health system significantly. This study aimed to identify factors ...

ABSTRACT: As financial criminal methods become increasingly sophisticated, traditional anti-money laundering and fraud detection approaches face significant challenges. This study focuses on the ...

Explore data preprocessing techniques essential for improving large language model (LLM) performance, focusing on quality enhancement, deduplication, and synthetic data generation. The evolution of ...