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Searching for Complex Patterns Using Disjunctive Anomaly Detection
OBJECTIVE: Disjunctive anomaly detection (DAD) algorithm [1] can efficiently search across multidimensional biosurveillance data to find multiple simultaneously occurring (in time) and overlapping (across different data dimensions) anomalous clusters. We introduce extensions of DAD to handle rich cl...
Autores principales: | Sabhnani, Maheshkumar, Dubrawski, Artur, Schneider, Jeff |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
University of Illinois at Chicago Library
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3692787/ |
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