Design and Application of Legal Information Systems Based on Big Data Technology

China's exploration of the legal application of big data is still far from thorough enough. This article proposes a universal suitable for hierarchical big data storage systems, which can quickly add new cache policies when needed and provide cache scheduling strategies. The neural training alg...

Full description

Saved in:
Bibliographic Details
Published inInternational journal of information systems and supply chain management Vol. 17; no. 1; pp. 1 - 18
Main Author Wang, Ying
Format Journal Article
LanguageEnglish
Published Hershey IGI Global 01.01.2024
Subjects
Algorithms
Big Data
Data storage
Fault tolerance
Information storage and retrieval
Information systems
Neural networks
Storage systems
China
Online AccessGet full text
ISSN1935-5726
1935-5734
1935-5734
DOI10.4018/IJISSCM.338380

Cover

More Information
Summary:China's exploration of the legal application of big data is still far from thorough enough. This article proposes a universal suitable for hierarchical big data storage systems, which can quickly add new cache policies when needed and provide cache scheduling strategies. The neural training algorithm used in legal information systems implements a complete parallel computing framework for large-scale neural network training, supporting distributed storage and management of large-scale sample data. The experimental results show that the framework has good scalability and fault tolerance, and can quickly train legal information systems, improving their efficiency and response speed. This provides new ideas and methods for the design and development of legal information systems.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1935-5726
1935-5734
1935-5734
DOI:10.4018/IJISSCM.338380