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Volumn 3, Issue , 2010, Pages 161-163
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Research on initial clustering centers of fuzzy c-means algorithm and its application to intrusion detection
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Author keywords
Fuzzy c means (FCM) algorithm; Initial clustering centers; Intrusion detection; KDDCup99
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Indexed keywords
CLASSIFICATION ACCURACY;
CLUSTERING ANALYSIS;
CLUSTERING CENTERS;
CLUSTERING NUMBER;
FCM ALGORITHM;
FUZZY C-MEANS ALGORITHMS;
INITIAL CLUSTER CENTERS;
KDDCUP99;
NETWORK ATTACK;
NEW STRATEGY;
SAMPLE SETS;
SIMULATION EXPERIMENTS;
TRAINING DATA;
CLUSTER ANALYSIS;
COMPUTER CRIME;
COMPUTER SIMULATION;
COPYING;
ENVIRONMENTAL ENGINEERING;
FUZZY CLUSTERING;
FUZZY SYSTEMS;
INTRUSION DETECTION;
CLUSTERING ALGORITHMS;
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EID: 77957950475
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/ESIAT.2010.5568387 Document Type: Conference Paper |
Times cited : (3)
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References (8)
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