Abstract: Monotone missing data is a common problem in data analysis. However, imputation combined with dimensionality reduction can be computationally expensive, especially with the increasing size ...

HOME AT TIMES DURING SCHOOL HOURS. IT’S SURPRISING. GROTON KEARSARGE REGIONAL SCHOOL DISTRICT, NEW LONDON ELEMENTARY PRINCIPAL KELLY COLLINS RESIGNED EARLIER THIS MONTH AMID AN INTERNAL INVESTIGATION ...

Are you looking to get experience with Excel for use in your projects, theses or on the job? Join Daria Orlowska, data librarian, in a live demonstration of combining, organizing and analyzing data.

Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation, College of Mathematics and Computing Science, Guilin University of Electronic Technology, Guilin, China. With the ...

Principal component analysis (PCA) is one of the most common exploratory data analysis techniques with applications in outlier detection, dimensionality reduction, graphical clustering, and ...

College of Computer Science and Technology, Qingdao Institute of Software, China University of Petroleum (East China), Qingdao 266580, China State Key Laboratory of Chemical Safety, China University ...

ABSTRACT: This study investigates the use of a decision tree classification model, combined with Principal Component Analysis (PCA), to distinguish between Assam and Bhutan ethnic groups based on ...

Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...

What-if analysis in Excel is a powerful tool that allows you to explore different scenarios and outcomes by changing input values in your formulas. This guide will walk you through the three primary ...