Distributed Marketplace Intelligence: Real-Time Anomaly Detection at  Cloud Scale

Ridhima Mahajan, Sarat Mahavratayajula , Suvodeep Pyne

Distributed Marketplace Intelligence: Real-Time Anomaly Detection at Cloud Scale

Authors

Ridhima Mahajan, Sarat Mahavratayajula , Suvodeep Pyne

Keywords:

Distributed marketplace intelligence, real-time anomaly detection, cloud scale, machine learning, hybrid ensemble, scalability, transaction monitoring

Abstract

The rapid expansion of digital marketplaces has amplified the need for intelligent, real-timeanomaly detection to safeguard transactional integrity, infrastructural stability, and user trust.This study presents

References

Akanbi, A., & Masinde, M. (2020). A distributed stream processing middleware framework for real-time analysis of heterogeneous data on big data platform: Case of environmental monitoring. Sensors, 20(11), 3166.

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Published

2025-08-20

How to Cite

Ridhima Mahajan, Sarat Mahavratayajula , Suvodeep Pyne. (2025). Distributed Marketplace Intelligence: Real-Time Anomaly Detection at Cloud Scale. Journal of Computational Analysis and Applications (JoCAAA), 34(8), 558–572. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/3813