Big Data Preprocessing: Enabling Smart Data

By Julián Luengo, Diego García-Gil, Sergio Ramírez-Gallego, Salvador Garcia, Francisco Herrera. 2020

70 citations recorded by the source corpus.

Subfields: Information Systems and Management

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Siham Tabik
2. M. Rey-Area
3. E. Olmedo-S'anchez
4. A. G'omez-R'ios
5. P. Garc'ia-Villanova
6. M. A. Valero-Gonz'alez
7. J. L. Suarez
8. I. Sevillano-García

Citations in the corpus

• Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy (2020, neutral): “Therefore, big data preprocessing techniques [44] that are interactively applicable can be adapted to a FL scenario in compliance with data constraints.”
• COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images (2020, background): “The concept of Smart Data refers to the process of converting raw data into higher quality data with higher concentration of useful information [9].”