Search Results for author:
Found 5 papers, 2 papers with code
Large Multistream Data Analytics for Monitoring and Diagnostics in Manufacturing Systems
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.
Dataset: Rare Event Classification in Multivariate Time Series
The dataset comes from a multivariate time series process.
Inertial Regularization and Selection (IRS): Sequential Regression in High-Dimension and Sparsity
In this paper, we develop a new sequential regression modeling approach for data streams.
Sequence Graph Transform (SGT): A Feature Extraction Function for Sequence Data Mining (Extended Version)
However, sequence mining is particularly challenging because of difficulty in finding (dis)similarity/distance between sequences.
The Impact of Estimation: A New Method for Clustering and Trajectory Estimation in Patient Flow Modeling
CSI functions by clustering patients into groups based on similarity of trajectory using a novel Semi-Markov model (SMM)-based clustering scheme proposed in this paper, as opposed to clustering by admit type or condition as in previous literature.
