A big data quality evaluation method based on group heterogeneity rationality perception information fusion
W Zuo, D Yu, Q Hu, L Liu - Computers & Industrial Engineering, 2024 - Elsevier
Big data is complex, and it is difficult to evaluate big data quality with only a few evaluation
subjects. This paper designs a universal evaluation method for big data quality based on the …
subjects. This paper designs a universal evaluation method for big data quality based on the …
[PDF][PDF] Knowledge discovery from road traffic accident data in Ethiopia: Data quality, ensembling and trend analysis for improving road safety
Descriptive analyses of the magnitude and situation of road safety in general and road
accidents in particular is important, but understanding of data quality, factors related with …
accidents in particular is important, but understanding of data quality, factors related with …
kNN Imputation Versus Mean Imputation for Handling Missing Data on Vulnerability Index in Dealing with Covid-19 in Indonesia
The COVID-19 virus has rapidly spread throughout the world, and the WHO declared it a
pandemic on March 11, 2020. Previous research considered five domains associated with …
pandemic on March 11, 2020. Previous research considered five domains associated with …
Mining High Utility Sequential Patterns in Dynamic Databases
JMT Wu, F Li, R Li, S Liu, H Zhou - 2023 8th International …, 2023 - ieeexplore.ieee.org
High-utility sequential pattern mining (HUSPM) has become a popular problem in the field of
data mining. Many algorithms have been designed for mining high-utility sequential patterns …
data mining. Many algorithms have been designed for mining high-utility sequential patterns …
Mining Skyline Frequent-Utility Pattern with Threshold Filtering
JMT Wu, Y Liu, H Zhou, F Li… - 2023 8th International …, 2023 - ieeexplore.ieee.org
In the past, skyline pattern mining algorithms have achieved extensive research. The current
algorithms for mining skyline patterns are inefficient and time-consuming. In practical …
algorithms for mining skyline patterns are inefficient and time-consuming. In practical …
Research on Multi-XCTDs Measurement Information Receiving and Data Mining System
XM Li, XP Wang, D Tao, LS Ma… - 2023 8th International …, 2023 - ieeexplore.ieee.org
To receive synchronous observations data, that transmitted by the XCTD automatic delivery
acquisition device, and to realize intensive and gridded ocean observation, A multi-XCTDs …
acquisition device, and to realize intensive and gridded ocean observation, A multi-XCTDs …
[PDF][PDF] Data Mining Aplicado a la Predicción y Tratamiento de Enfermedades
RESUMEN Éste artículo propone una metodología de aplicación de algoritmos de
predicción, utilizando técnicas de minería de datos, en la cual se incorporan mecanismos …
predicción, utilizando técnicas de minería de datos, en la cual se incorporan mecanismos …
Automated inference techniques to assist with the construction of self-adaptive software
The state-of-the-art in engineering self-adaptive software systems involves manual
construction of numerous models, which are then used at runtime for making and effecting …
construction of numerous models, which are then used at runtime for making and effecting …
[PDF][PDF] Calidad de datos y aprendizaje automático: detección de errores semánticos en datos estructurados con esquema desconocido
AD Lentini - 2021 - ri.itba.edu.ar
Resumen" El presente trabajo tiene como objetivo general evaluar si técnicas del
aprendizaje automático provenientes del área del procesamiento natural del lenguaje …
aprendizaje automático provenientes del área del procesamiento natural del lenguaje …