Data science is a method to glean insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning (ML). For most organizations, it’s ...

This webpage provides information about the research project “Methods for the Analysis of Longitudinal Dyadic Data, with Applications to Intergenerational Exchanges of Family Support”. The three-year ...

Dark data is now being explored and plumbed by generative AI, and it represents a new frontier in the efforts to understand ...

This module starts with an overview of data mining methods, then focuses on frequent pattern analysis, including the Apriori algorithm and FP-growth algorithm for frequent itemset mining, as well as ...

Meta-analysis is an objective examination of published data from many studies of the same research topic identified through a literature search. Through the use of rigorous statistical methods ...

Predictive analytics is a practical application of Artificial Intelligence that uses techniques like machine learning to ...

Machine learning (ML) transforms the design of heterogeneous catalysts, traditionally driven by trial and error due to the ...

With a new method developed at the University of Bergen, researchers can now refine the analysis of proteins taking ... is done by comparing participant data against protein sequences predicted ...

A new method developed at Cornell provides ... Their paper, "Enabling Efficient Analysis of Biobank-Scale Data with Genotype Representation Graphs," published Dec. 5 in Nature Computational ...