Deep learning framework for handling concept drift and class imbalanced complex decision-making on streaming data

Deep learning framework for handling concept drift and class imbalanced complex decision-making on streaming data

Abstract In present times, data science become popular to support and improve decision-making process. Due to the accessibility of a wide application perspective of data streaming, class imbalance and concept drifting become crucial learning problems. The advent of deep learning (DL) models finds us...

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Bibliographic Details
Main Authors: S. Priya, R. Annie Uthra
Format: Article
Language:English
Published: Springer 2021-07-01
Series:Complex & Intelligent Systems
Subjects:
Data science
Complex systems
Decision making
Streaming data
Concept drift
Classification model
Online Access:https://doi.org/10.1007/s40747-021-00456-0

Internet

https://doi.org/10.1007/s40747-021-00456-0

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