ELASTICSEARCH AI ARCHITECTURE FOR EDUCATIONAL FINANCIAL SYSTEMS: A TECHNICAL DEEP DIVE
Keywords:
Elasticsearch Architecture, Educational Payment Systems, Natural Language Processing, Financial Security, Business Intelligence AnalyticsAbstract
This article presents a comprehensive technical analysis of implementing Elasticsearch AI architecture in educational financial systems, focusing on integrating advanced data processing, search capabilities, and security measures. The article explores the development of a sophisticated system architecture that harmonizes distributed processing with real-time operations, incorporating natural language processing for enhanced user interactions. The article examines the implementation of robust security protocols, administrative tools, and system integration methods while maintaining high performance and reliability. The system achieves significant improvements in transaction processing, query resolution, and overall system efficiency by adopting modern caching strategies and load-balancing techniques. The article demonstrates how business intelligence capabilities and advanced analytics transform complex financial data into actionable insights, enabling educational institutions to optimize payment processing operations. This article contributes to the field by presenting a scalable, secure, and efficient solution for managing educational financial transactions while ensuring seamless integration with existing systems and maintaining compliance with financial regulations.
References
Konstantin Tscherkaschin, "Design of a Multi-Core Hardware Architecture for Distributed Data Detection," 2016 Asilomar Conference on Signals, Systems, and Computers. https://ieeexplore.ieee.org/abstract/document/7869174
David Abramson et al., "Why We Need a Reference Architecture for Research Data," 2023 IEEE 19th International Conference on e-Science (e-Science). https://ieeexplore.ieee.org/document/10254825
Junyi Chai, "Deep Learning in Natural Language Processing: A State-of-the-Art Analysis," 2019 International Conference on Machine Learning and Cybernetics (ICMLC). https://ieeexplore.ieee.org/document/8949185
Mejdl S. Safran, "Improving Relevance Prediction for Focused Web Crawlers," 2012 IEEE/ACIS 11th International Conference on Computer and Information Science (ICIS). https://ieeexplore.ieee.org/document/6211091
Tommaso Zoppi, "Evaluation of Anomaly Detection Algorithms Made Easy with RELOAD," 2019 IEEE 30th International Symposium on Software Reliability Engineering (ISSRE). https://ieeexplore.ieee.org/document/8987465
Timur A. Shaymardanov, "Development of an Anti-fraud System with Real-Time Analytics," 2022 IEEE International Conference on Emerging Electronics (ICEEE). https://ieeexplore.ieee.org/document/9755691
Chuanfeng Bie, "Integration and Design of a Data Visualization Components System," 2010 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE). https://ieeexplore.ieee.org/abstract/document/5659056
Semantic Scholar, "Business Intelligence Capabilities and Effectiveness: An Integrative Model," 2016 IEEE 49th Hawaii International Conference on System Sciences (HICSS). https://www.semanticscholar.org/paper/Business-Intelligence-Capabilities-and-An-Model-Ramakrishnan-Khuntia/6327d440ece4857f288cb38a741733040f86a15c#:~:text=An%20integrated%20conceptual%20model%20is%20presented%20which%20first,organisational%20performance%20Moderated%20by%20the%20business%20strategy%20alignment.
Dong Hyun Kim, Kyoung Seok Na, "Design and Implementation of Low-Level Machine Learning API and API Server," 2017 International Conference on Information Networking (ICOIN). https://ieeexplore.ieee.org/document/7899577
Dejin Li; Ningning Li, "Research on Grid Basic Data Synchronization Method for Electricity IoT Cloud Platform," 2020 5th Asia Conference on Power and Electrical Engineering (ACPEE). https://ieeexplore.ieee.org/document/9136169
Andre Gomes, "Enhanced Caching Strategies at the Edge of LTE Mobile Networks," 2016 IFIP Networking Conference (IFIP Networking). https://ieeexplore.ieee.org/document/7497245
Nikolay S. Prodanov, "Load Balancing Implementation in Software Defined Networks," 2022 IEEE International Conference on Emerging Electronics (ICEEE). https://ieeexplore.ieee.org/document/9828706
