TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Big data and human height: Scientists develop algorithm to boost biobank data retrieval and analysis

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Sophelio Launches Data Fusion Labeler (dFL) to Accelerate Sensor Data Preparation for Machine Learning

Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data Preprocessing can quietly change the meaning of your data, which is why the Data Fusion Labeler is built to harmonize ...
InfoWorld

AI-augmented data quality engineering

This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...
IEEE

Application of Gas Cloud Dispersion Detection and Video Data Preprocessing Methods in Transformer Fault Diagnosis

Abstract: As the demand for monitoring the operational status of transformers in power systems increases, traditional fault diagnosis methods are no longer sufficient to meet the real-time and ...
IEEE

Research on Preprocessing Methods for Aggregate Queries in Data Sharing

Abstract: This work presents an in-depth investigation into the preprocessing methods for aggregate queries in data sharing, with a focus on enhancing privacy preservation and efficiency within big ...