Large Multistream Data Analytics for Monitoring and Diagnostics in Manufacturing Systems

no code implementations • 26 Dec 2018 • Samaneh Ebrahimi, Chitta Ranjan, Kamran Paynabar

The high-dimensionality and volume of large scale multistream data has inhibited significant research progress in developing an integrated monitoring and diagnostics (M&D) approach.

Predicting Audio Advertisement Quality

no code implementations • 9 Feb 2018 • Samaneh Ebrahimi, Hossein Vahabi, Matthew Prockup, Oriol Nieto

In these platforms, which tend to host tens of thousands of unique audio advertisements (ads), providing high quality ads ensures a better user experience and results in longer user engagement.

Inertial Regularization and Selection (IRS): Sequential Regression in High-Dimension and Sparsity

no code implementations • 23 Oct 2016 • Chitta Ranjan, Samaneh Ebrahimi, Kamran Paynabar

In this paper, we develop a new sequential regression modeling approach for data streams.

Model Selection regression

Sequence Graph Transform (SGT): A Feature Extraction Function for Sequence Data Mining (Extended Version)

1 code implementation • 11 Aug 2016 • Chitta Ranjan, Samaneh Ebrahimi, Kamran Paynabar

However, sequence mining is particularly challenging because of difficulty in finding (dis)similarity/distance between sequences.

Clustering