Multidomain Big Data Modeling: Concepts and Applications

DOI

10.2991/978-94-6463-300-9_43How to use a DOI?

Keywords

Big Data Models; Data-driven Decision Making; Interdisciplinary Collaboration; Machine Learning; Artificial Intelligence

Abstract

Amidst the rapid progression of information technology and the onset of the digital age, big data models have undergone extensive evolution and exploration. This has been stimulated by a blend of factors including an exponential data surge, technological advancements, cost reductions, data-centric decision-making strategies, the emergence of machine learning and artificial intelligence, and the demand for interdisciplinary collaborations and industrial applications. Big data models offer significant tools and methodologies to navigate the challenges and opportunities presented by the big data era. As these models gradually permeate various domains, this research paper seeks to delve into their importance across different fields. The intention is to provide an overview of their applications, along with the challenges they encounter, and further present a case study depicting their use in addressing domain-specific obstacles, enhancing efficiency, minimizing costs, and optimizing decision-making processes. The paper broaches the definition and attributes of big data models and their historical evolution. It encapsulates examples of successful implementations across diverse domains such as healthcare, finance, gaming, and law. Moreover, the paper delves into the hurdles associated with big data models, including both technical and non-technical issues such as data quality, privacy, scalability, and interpretability.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Jiawen Bao
PY  - 2023
DA  - 2023/11/27
TI  - Multidomain Big Data Modeling: Concepts and Applications
BT  - Proceedings of the 2023 International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2023)
PB  - Atlantis Press
SP  - 419
EP  - 427
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-300-9_43
DO  - 10.2991/978-94-6463-300-9_43
ID  - Bao2023
ER  -