Small-time scale network traffic prediction based on a local support vector machine regression model

Chinese Physics B

Volumn 18, Issue 6, 2009, Pages 2194-2199

  Qing Fang, Meng ^a,b   Yue Hui, Chen ^a   Yu Hua, Peng ^b  

^a UNIVERSITY OF JINAN   (China)

^b SHANDONG UNIVERSITY   (China)

Author keywords

Network traffic; Nonlinear time series analysis; Small time scale; Support vector machine regression model

Indexed keywords

EMBEDDING DIMENSIONS; LOCAL SUPPORT; NETWORK TRAFFIC; NONLINEAR TIME SERIES ANALYSIS; NONLINEAR TIME SERIES ANALYSIS METHODS; POINT SELECTION; PREDICTION METHODS; REAL TRAFFIC; RECONSTRUCTED PHASE SPACE; SMALL-TIME SCALE; STATISTICAL FEATURES; SUPPORT VECTOR MACHINE REGRESSION MODEL; TIME-SCALE; TRAFFIC DATA; TRAFFIC MEASUREMENTS;

ELECTRIC MEASURING INSTRUMENTS; IMAGE RETRIEVAL; INTERNET; NONLINEAR NETWORK ANALYSIS; PHASE SPACE METHODS; REGRESSION ANALYSIS; SUPPORT VECTOR MACHINES; TIME SERIES; VECTORS;

TIME SERIES ANALYSIS;

EID: 67650761049     PISSN: 16741056     EISSN: None     Source Type: Journal    
DOI: 10.1088/1674-1056/18/6/014     Document Type: Article

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