A Big Data Application is defined as a solution that addresses real-world problems by utilizing technologies like storage systems and computing environments to handle large volumes of …

Mar 1, 2025 · In this paper, we explore various methods for automating data processing tasks for deep learning and big data applications. In the context of this survey, we broadly divide data …

May 28, 2024 · This study therefore explores the state of the implementation of Big Data applications in a wide range of organizations in China and the Netherlands and the impact on …

Nov 1, 2021 · The importance of data-driven decisions and support is increasing day by day in every management area. The constant access to volume, variety, and veracity of data has …

Feb 1, 2024 · Big data analytics (BDA), where raw data is often unlabeled or uncategorized, can greatly benefit from DL because of its ability to analyze and learn from enormous amounts of …

Jan 1, 2022 · Big data applications in agriculture evolve fast, as more experience, applications, good practices and computational power become available. Actual so…

Nov 1, 2016 · However, current research reveals that there is limited agreement regarding the performance of “big data.” Therefore, this paper attempts to thoroughly investigate “big data,” …

Nov 1, 2023 · The implications of big data applications in the insurance industry, derived from a comprehensive bibliometric and systematic review, are profound and diverse. By …

Jun 1, 2020 · According to the review of 349 peer-reviewed articles, GEE has played a vital role in conducting geo-big data analysis for a variety of remote sensing applications across the world …

Mar 1, 2025 · Big data has emerged as a transformative tool in this context, offering insights and capabilities that were previously unattainable. Defined by its volume (large-scale datasets), …