From Data to Knowledge - 106 - Sotiria Lampoudi
Channel: ckleinastro
Date: 08/05/2012

Slides: http://lyra.berkeley.edu/CDIConf/pdfs/Lampoudi_Berkeley2012.pdf

Sotiria Lampoudi: "Bounds estimation from timeseries". A video from the UC Berkeley Conference: From Data to Knowledge: Machine-Learning with Real-time and Streaming Applications (May 7-11, 2012).

Abstract
Sotiria Lampoudi (UC Santa Barbara, CS)
QBETS (http://spinner.cs.ucsb.edu/batchq/) is a service for estimating bounds on the wait times of jobs submitted to batch queued supercomputers. QBETS is formed by a binomial non-parametric statistical method at the core, wrapped in a time series clustering method with change-point detection. We are in the process of re-engineering QBETS to work on generic, as opposed to domain-specific, time series, and are continually improving the underlying methodology.