Anomaly, event, and fraud detection in large network datasets

WSDM 2013 - Proceedings of the 6th ACM International Conference on Web Search and Data Mining

Volumn , Issue , 2013, Pages 773-774

  Akoglu, Leman ^a   Faloutsos, Christos ^b  

^a Stony Brook University   (United States)

^b School of Computer Science ^*  (United States)

Author keywords

anomaly detection; event detection; fraud; graph mining

Indexed keywords

ABNORMALITY DETECTION; ANOMALY DETECTION; AS GRAPH; DETECTION TASKS; DYNAMIC DATA; EVENT DETECTION; FRAUD; FRAUD DETECTION; GRAPH DATA; GRAPH MINING; LARGE NETWORKS; LONG RANGE CORRELATIONS; REAL-WORLD APPLICATION; SPAM DETECTION; STATE-OF-THE-ART METHODS; STRUCTURED GRAPHS;

COMPUTER CRIME; CRIME; HEALTH CARE; INFORMATION RETRIEVAL; LAWS AND LEGISLATION; LEARNING ALGORITHMS; WEBSITES;

DATA MINING;

EID: 84874272433     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2433396.2433496     Document Type: Conference Paper

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