You'll learn about different technical and analytical aspects of data preprocessing – data collection, data cleaning, data integration, data reduction, and data transformation – and get to grips with ...

We describe canonical correlation analysis (CCA), a popular matrix factorization approach for the integration of single-cell data from different platforms or studies. We discuss alternatives to CCA ...

What is this book about? Data preprocessing is the first step in data visualization, data analytics, and machine learning, where data is prepared for analytics functions to get the best possible ...

Robust statistical methods form the backbone of our data pre-processing and integration strategy. We address missing values in skewed features—such as loudness (skewness = 2.1)—using median imputation ...

That’s just one of the many ways to define the uncontrollable volume of data and the challenge it poses for enterprises if they don’t adhere to advanced integration tech. As well as why data ...

The problem? With HR apps, employee data sits in separate, disconnected silos in the cloud. Data integration connectors, like the kind created by Flexspring, solve this obstacle by seamlessly ...