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Saturday, March 13, 2021

Reducing Complexity of Big Data

Feature detection and extraction to simplify data use in complex data.  Intriguing approach is worth a look,  Simplifying is always a good idea if it provides insight. 

Algorithm Could Reduce Complexity of Big Data

Texas A&M Engineering News, By Stephanie Jones, March 8, 2021

Researchers at Texas A&M University, the University of Texas at Austin, and Princeton University have developed an algorithm that can be applied to large datasets, with the ability to extract and directly order features from most to least salient. Texas A&M's Reza Oftadeh said, "There are many ad hoc ways to extract these features using machine learning algorithms, but we now have a fully rigorous theoretical proof that our model can find and extract these prominent features from the data simultaneously, doing so in one pass of the algorithm." The algorithm adds a new cost function to an artificial neural network to provide the exact location of features directly ordered by their relative performance, allowing it to perform classic data analysis on larger datasets more efficiently.  ... ' 

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