This part offers some challenges for big data analytics using AI techniques from various perspectives: (1) Fog computing; (2) Processing huge quantities of data; (3) Security; (4) Qualitative parameters and metrics; (5) and Data quality.

Jan 14, 2024 · Advanced algorithms serve as the engine that activates big data to empower smarter business decisions through enhanced insights, automation, predictions, optimization and more. Big data analytics consists of numerous techniques from statistical modeling to machine learning to natural language processing that use algorithms to find hidden ...

Apr 1, 2025 · In this manuscript, we propose an innovative method for optimizing deep learning algorithms in the context of processing large digital data. Our approach is based on the utilization of evolutionary neural networks, which integrate deep learning algorithms with …

Dec 2, 2023 · From advanced analytics and machine learning algorithms to data monetization strategies, we’ll explore how organizations can turn the challenges of Big Data into valuable opportunities.

Some of the algorithmic techniques and tools for solving problems over massive data, such as sampling, sketching, dimensionality reduction, and computing efficient summaries of the data (e.g., core-sets).

Mar 10, 2022 · In this paper, the advantages of intelligent onboard processing using advanced algorithms for Heterogeneous System Architecture (HSA) compliant onboard data processing systems are explored.

Jan 1, 2015 · Data to be processed where it resides, peer-to-peer-based network communications, computational and aggregation components for synchronization are some of the techniques being used in these algorithms to achieve the goals. MapReduce has been adopted in Big Data problems widely.

Mar 10, 2025 · To address these challenges, this study introduces an advanced MapReduce algorithm that incorporates dynamic task scheduling, enhanced data partitioning strategies, and a robust load-balancing mechanism. These improvements are designed to optimize processing speed, improve resource utilization, and enhance fault tolerance.

Feb 1, 2023 · This Special Issue welcomes original research and review articles with a focus on applying advanced mathematical algorithms such as intelligent optimization and deep learning in data processing from multiple sensors.

Jan 7, 2024 · We explore the challenges and opportunities presented by the era of big data, focusing on the development and deployment of advanced ML algorithms.