Lifelong Machine Learning and root cause analysis for large-scale cancer patient data

Lifelong Machine Learning and root cause analysis for large-scale cancer patient data

Abstract Introduction This paper presents a lifelong learning framework which constantly adapts with changing data patterns over time through incremental learning approach. In many big data systems, iterative re-training high dimensional data from scratch is computationally infeasible since constant...

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Bibliographic Details
Main Authors: Gautam Pal, Xianbin Hong, Zhuo Wang, Hongyi Wu, Gangmin Li, Katie Atkinson
Format: Article
Language:English
Published: SpringerOpen 2019-12-01
Series:Journal of Big Data
Subjects:
Lifelong learning
Real-time data processing
Lambda Architecture
Streaming k-means
Random Decision Forest
Dimension reduction
Online Access:https://doi.org/10.1186/s40537-019-0261-9

Internet

https://doi.org/10.1186/s40537-019-0261-9

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