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Fast Multivariate Subset Scanning for Scalable Cluster Detection Daniel B. Neill×, EdwardMcFarlandd III, Skyler Speak man Event and Pattern Detection Laboratory Carnegie Mellon University *E-mail:

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What is fast multivariate subset scanning?

Fast multivariate subset scanning is a statistical technique used to identify significant patterns in high-dimensional data. It helps to identify subsets of variables that are associated with a particular outcome or condition.

Who is required to file fast multivariate subset scanning?

Fast multivariate subset scanning is typically performed by researchers, statisticians, or data analysts who want to analyze complex datasets and find meaningful patterns.

How to fill out fast multivariate subset scanning?

To perform a fast multivariate subset scanning analysis, you need to have a dataset with multiple variables, define the outcome or condition of interest, and use a suitable algorithm or software tool to conduct the analysis.

What is the purpose of fast multivariate subset scanning?

The purpose of fast multivariate subset scanning is to identify subsets of variables that are associated with a specific outcome or condition. It can help researchers discover relevant variables and patterns that may not be apparent through traditional univariate analyses.

What information must be reported on fast multivariate subset scanning?

The information reported on fast multivariate subset scanning typically includes the identified subsets of variables, their association strengths or statistical significance, and any additional relevant statistics or visualizations.

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