Paper

An efficient algorithm for distributed density-based outlier detection on big data

Published Mar 12, 2016 · Mei Bai, Xite Wang, Junchang Xin

Neurocomputing

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Abstract

Abstract removed due to Elsevier request; this does not indicate any issues with the research. Click the full text link above to read the abstract and view the original source.

Study Snapshot

Key takeawayThe GBP algorithm and DLC method efficiently detect density-based outliers in large-scale data, with minimal network communication needed.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

An efficient algorithm for distributed density-based outlier detection on big data

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