Evolving fuzzy granular modeling from nonstationary fuzzy data streams

Evolving Systems

Volumn 3, Issue 2, 2012, Pages 65-79

  Leite, Daniel ^a   Ballini, Rosangela ^a   Costa, Pyramo ^b   Gomide, Fernando ^a  

^a UNIVERSITY OF CAMPINAS   (Brazil)

^b PONTIFICAL CATHOLIC UNIVERSITY OF MINAS GERAIS   (Brazil)

Author keywords

Fuzzy data stream; Granular computing; Information granule; Online learning; Time series prediction

Indexed keywords

APPLICATION EXAMPLES; APPROXIMATE SOLUTION; DATA GRANULARITY; DATA STREAM PROCESSING; FUZZY DATA; GRANULAR MODELING; HIGH QUALITY; INPUT-OUTPUT DATA; MODELING APPROACH; MODELING FRAMEWORKS; NONSTATIONARY; ONE-PASS; ONLINE DATA; ONLINE LEARNING; REGIME SHIFT; RULE-BASED MODELS; STREAM APPLICATION; TEMPERATURE PREDICTION; TIME SERIES PREDICTION; TIME VARYING; UNCERTAIN DATAS;

DATA COMMUNICATION SYSTEMS; DATA MINING; GRANULAR COMPUTING; INFORMATION GRANULES; LEARNING ALGORITHMS;

WEATHER FORECASTING;

EID: 84860424873     PISSN: 18686478     EISSN: 18686486     Source Type: Journal    
DOI: 10.1007/s12530-012-9050-9     Document Type: Article

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