Data analytics is the science of analyzing raw data to make conclusions about that information. It helps businesses perform ...

The core value of conversational BI lies in lowering the threshold for data analysis and promoting "data democratization." Traditional BI requires users to master SQL, OLAP, and possess data thinking ...

Guoxuan New Energy Applies for Patent for Lithium-ion Battery Capacity Degradation Analysis Method Based on MATLAB ...

Integrating multiple data types can be substantially more informative than analysing data sets separately, and methods to combine data sets are now emerging. This Review outlines the current ...

This course covers most frequently used statistical methods for data analysis. In addition to the standard inference methods such as parameter estimation, hypothesis testing, linear models and ...

Data that have a multilevel structure occur frequently across a range of disciplines, including epidemiology, health services research, public health, education and sociology. We describe three ...

Intelligent systems rely on data collected across diverse sensing modalities (such as time, frequency and 3D space) and organize them in multi-dimensional arrays, also referred to as “tensors.” ...

Ke-Hai Yuan, Peter M. Bentler, Three Likelihood-Based Methods for Mean and Covariance Structure Analysis with Nonnormal Missing Data, Sociological Methodology, Vol. 30 (2000), pp. 165-200 ...

Essentially all cells in an organism's body have the same genetic blueprint, or genome, but the set of genes that are ...