Detecting epidemics using highly noisy data

Proceedings of the International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc)

Volumn , Issue , 2013, Pages 177-186

  Milling, Chris ^a   Caramanis, Constantine ^a   Mannor, Shie ^b   Shakkottai, Sanjay ^a  

^a UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^b TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

Author keywords

Epidemic process; Network inference

Indexed keywords

COMPLETE GRAPHS; EPIDEMIC PROCESS; FALSE NEGATIVES; FALSE POSITIVE; HYPOTHESIS TESTING; NETWORK INFERENCE; SIMILAR NUMBERS; STRUCTURED GRAPHS;

ALGORITHMS; DISEASES; MOBILE AD HOC NETWORKS;

EPIDEMIOLOGY;

EID: 84882981915     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2491288.2491294     Document Type: Conference Paper

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