An efficient approach to detecting concept-evolution in network data streams

Australasian Telecommunication Networks and Applications Conference, ATNAC 2011

Volumn , Issue , 2011, Pages

  Erfani, Sarah M ^a   Rajasegarar, Sutharshan ^a   Leckie, Christopher ^a  

^a UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

anomaly detection; concept drift; concept evolution; novel class detection

Indexed keywords

ANOMALY DETECTION; BENCHMARK DATA; CONCEPT-DRIFT; CONCEPT-EVOLUTION; DATA CLASSIFICATION; DATA STREAM; ELIMINATING NOISE; IN-NETWORK MANAGEMENT; NETWORK DATA; REAL-WORLD NETWORKS; RESEARCH ISSUES; TRAFFIC FLOW;

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL COMPLEXITY; COMPUTATIONAL EFFICIENCY; DATA COMMUNICATION SYSTEMS; INTRUSION DETECTION; NETWORK MANAGEMENT; TELECOMMUNICATION NETWORKS;

INFORMATION MANAGEMENT;

EID: 84255200933     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ATNAC.2011.6096654     Document Type: Conference Paper

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