Adaptive Learning for Concept Drift in Application Performance Modeling-Reference-Cited by-同舟云学术

Adaptive Learning for Concept Drift in Application Performance Modeling

Published:2019-08-05 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 48th International Conference on Parallel Processing
language:
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Author:

Madireddy Sandeep¹,Balaprakash Prasanna¹,Carns Philip¹,Latham Robert¹,Lockwood Glenn K.²,Ross Robert¹,Snyder Shane¹,Wild Stefan M.¹

Affiliation:

1. Argonne National Laboratory, Lemont, IL

2. Lawrence Berkeley National Laboratory Berkeley, CA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3337821.3337922

Reference40 articles.

1. Ryan P. Adams and David J.C. MacKay. 2007. Bayesian Online Changepoint Detection. Preprint 0710.3742. arXiv. Ryan P. Adams and David J.C. MacKay. 2007. Bayesian Online Changepoint Detection. Preprint 0710.3742. arXiv.

2. Problem Determination in Enterprise Middleware Systems using Change Point Correlation of Time Series Data

3. A survey of methods for time series change point detection

4. Christopher M Bishop. 2006. Pattern Recognition and Machine Learning. Springer. Christopher M Bishop. 2006. Pattern Recognition and Machine Learning. Springer.

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