Unlocking the power of machine learning in big data: a scoping …
Feb 15, 2025 · Machine learning (ML) plays a crucial role in big data (BD) by serving as the cornerstone of efficient data processing and analysis. In particular, ML provides BD with the ability to extract valuable insights from the large data sets.
The use of big data and machine learning for optimizing
Jul 8, 2023 · By combining big data and machine learning, manufacturers can gain valuable insights into their production processes, products, markets, and customers and use them to optimize production...
Abstract— The Big Data revolution promises to transform how we live, work, and think by enabling process optimization, empowering insight discovery and improving decision-making.
The role of big data in process optimization | GlobalSpec
Nov 15, 2023 · By utilizing algorithms and machine learning techniques, big data analytics can predict equipment failures, optimize supply chain management, and improve product quality and process efficiency.
Machine Learning With Big Data: Challenges and Approaches
Apr 20, 2017 · Abstract: The Big Data revolution promises to transform how we live, work, and think by enabling process optimization, empowering insight discovery and improving decision making.
Optimizing Big Data Processing: Machine Learning Approaches …
Jan 1, 2025 · Machine learning (ML) techniques are playing a pivotal role in enhancing the scalability, efficiency, and accuracy of big data analytics. This paper explores various ML approaches for...
In this review paper, we summarize and classify the existing contributions of data-driven optimization under uncertainty, highlight the current research trends, point out the research challenges, and introduce promising methodologies that can be used to tackle these challenges.
A survey of machine learning for big data processing
May 28, 2016 · First, we review the machine learning techniques and highlight some promising learning methods in recent studies, such as representation learning, deep learning, distributed and parallel learning, transfer learning, active learning, and kernel-based learning.
Machine Learning, Optimization, and Big Data | Guide …
A novel nature-inspired, deterministic, global, and derivative-free optimization method, namely the dolphin pod optimization (DPO), is presented for solving simulation-based design optimization problems with costly objective functions.
Data Analytics and Machine Learning for Smart Process Manufacturing ...
Dec 1, 2019 · In this paper, we review recent advances in data analytics and machine learning applied to the monitoring, control, and optimization of industrial processes, paying particular attention to the interpretability and functionality of machine learning models.