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Quantifying Relationships Between Two Time Series Data Sets
(North Dakota State University, 2016)
One of the popular methods for quantifying the relationship between two time series data
sets is canonical correlations; however, it is linear and cannot accommodate more complex scenarios,
such as time series data for ...
Pattern Recognition and Quantifying Associations Within Entities of Data Driven Systems for Improving Model Interpretability
(North Dakota State University, 2022)
Discovering associations among entities of a system plays an important role in data science. The majority of the data science related problems have become heavily dependent on Machine Learning (ML) since the rise of ...