Iterative Forgetting: Online Data Stream Regression Using Database-Inspired Adaptive Granulation

N Kathiriya, H Haeri, C Chen, K Jerath - arXiv preprint arXiv:2403.09588, 2024 - arxiv.org
Many modern systems, such as financial, transportation, and telecommunications systems,
are time-sensitive in the sense that they demand low-latency predictions for real-time …

Determining Temporal Validity of Data in Stream Learning Under Concept Drift

H Haeri - 2024 - search.proquest.com
In the era of big data, the ability to efficiently manage and analyze continuous data streams
is critical for applications ranging from autonomous navigation systems to financial trading …

Iterative Forgetting: A Novel Online Data Stream Regression Method

N Kathiriya - 2023 - search.proquest.com
In today's interconnected world, time-sensitive systems are essential across various
domains, demanding ultra-low latency for real-time decision-making and accurate …