At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...
In the ever-expanding landscape of enterprise data management, the Multi-Dimensional Data Model (MDM) emerges as a transformative tool, offering a comprehensive approach to sorting, analyzing, and ...
We propose a semiparametric method for conducting scale-invariant sparse principal component analysis (PCA) on high-dimensional non-Gaussian data. Compared with sparse PCA, our method has a weaker ...
Fully convolutional networks were developed for predicting optimal dose distributions for patients with left-sided breast cancer and compared the prediction accuracy between two-dimensional and ...
BOSTON--(BUSINESS WIRE)--AtScale, the leading provider of semantic layer solutions for modern business intelligence and data science teams, today announced new capabilities within its semantic layer ...
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Detecting electricity demand patterns using a new method for high-dimensional binary data
Forecasting electricity demand in buildings is now more accurate with Group Encoding (GE), a new method that uses only existing device operation data. Developed by researchers at the Institute of ...
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