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...
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: | |
Online Access: | https://doi.org/10.1186/s40537-019-0261-9 |
Similar Items
-
Multi-Agent Big-Data Lambda Architecture Model for E-Commerce Analytics
by: Gautam Pal, et al.
Published: (2018-12-01) -
Lifelong Learning Augmented Short Text Stream Clustering Method
by: Jipeng Qiang, et al.
Published: (2021-01-01) -
Lifelong Machine Learning Architecture for Classification
by: Xianbin Hong, et al.
Published: (2020-05-01) -
Lifelong Learning as a Factor in Poverty Reduction
by: Nusreta Salić, et al.
Published: (2016-12-01) -
The Determinants of Lifelong Learning
by: Jasmina Sinanovic, et al.
Published: (2016-02-01)