A new AI review outlines 2025 strategies to fix missing traffic data in smart cities using structure- and learning-based ...

Multiple imputation (MI) can be used to address missing data at Level 2 in multilevel research. In this article, we compare joint modeling (JM) and the fully conditional specification (FCS) of MI as ...

Angelina Hammon, Sabine Zinn, Multiple imputation of binary multilevel missing not at random data, Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 69, No. 3 (2020), pp.

Supply chain design has an increasingly powerful ability to use digital, data-driven models to create the future supply chain your organization is going to need. Since the future hasn’t happened yet, ...

This can happen even when the sparse data might be more predictive. Best machine learning model for sparse data To help combat these issues that arise with sparse data machine learning, there are a ...

A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after it has already been used for training.

Learn how to use the Excel PowerPivot functionality for data modeling in data analysis in your spreadsheets. Once mastered this function ...