Empirical comparison of correlation measures and pruning levels in complex networks representing the global climate system

IEEE SSCI 2011: Symposium Series on Computational Intelligence - CIDM 2011: 2011 IEEE Symposium on Computational Intelligence and Data Mining

Volumn , Issue , 2011, Pages 239-245

  Pelan, Alex ^a   Steinhaeuser, Karsten ^a   Chawla, Nitesh V ^a   De Alwis Pitts, Dilkushi A ^b   Ganguly, Auroop R ^c  

^a University of Notre Dame   (United States)

^b UNIVERSITY OF NOTRE DAME   (United States)

^c OAK RIDGE NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AVERAGE TEMPERATURE; CHANGING CLIMATE; COMMUNITY DETECTION ALGORITHMS; COMPLEX CORRELATION; COMPLEX NETWORKS; CORRELATION MEASURES; CROSS CORRELATIONS; DESCRIPTIVE ANALYSIS; EMERGENT PHENOMENON; EMPIRICAL COMPARISON; EXTREME EVENTS; GLOBAL CLIMATE SYSTEM; GLOBAL HEALTH; LONG-TERM VARIABILITY; NETWORK STRUCTURES; NONLINEAR DEPENDENCIES; PREDICTIVE MODELING; PREDICTIVE POWER; SYSTEMATIC STUDY; UNIVARIATE;

ARTIFICIAL INTELLIGENCE; DATA MINING; EARTH (PLANET);

CLIMATE CHANGE;

EID: 79961181536     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIDM.2011.5949305     Document Type: Conference Paper

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