Unlocking the Potential of Neural Networks in the Big Data Analytics Era: Harnessing the Power of Data-Driven Insights

EasyChair Preprint 12031

Abstract

In the current landscape of Big Data Analytics, the utilization of advanced technologies such as Neural Networks has become paramount for extracting meaningful insights from vast and complex datasets. This paper explores the potential of Neural Networks as a powerful tool in data analysis, shedding light on their applications in various domains. We delve into the architecture and workings of Neural Networks, emphasizing their adaptability to handle intricate patterns and relationships within large datasets. Through real-world examples, we showcase how Neural Networks contribute to data-driven decision-making processes, unveiling hidden trends and correlations. The paper concludes with a discussion on the future prospects of Neural Networks in the evolving field of Big Data Analytics.

Keyphrases: Big Data Analytics, Computational Intelligence, Data Minin, Data-driven insights, Decision Support Systems, Predictive Analytics, deep learning, machine learning, neural networks, pattern recognition

@booklet{EasyChair:12031,
  author    = {William Jack},
  title     = {Unlocking the Potential of Neural Networks in the Big Data Analytics Era: Harnessing the Power of Data-Driven Insights},
  howpublished = {EasyChair Preprint 12031},
  year      = {EasyChair, 2024}}