CLEARMiner: A new algorithm for mining association patterns on heterogeneous time series from climate data

Proceedings of the ACM Symposium on Applied Computing

Volumn , Issue , 2010, Pages 900-905

  Romani, Luciana A S ^a,d   De Avila, Ana Maria H ^b   Zullo Jr , Jurandir ^b   Chbeir, Richard ^c   Traina Jr , Caetano ^a   Traina, Agma J M ^a  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

^b UNIVERSITY OF CAMPINAS   (Brazil)

^c UNIVERSITÉ DE BOURGOGNE   (France)

^d EMBRAPA INFORMÁTICA AGROPECUÁRIA   (Brazil)

Author keywords

association rules; image based information systems; NOAA AVHRR images

Indexed keywords

AGRICULTURAL BUSINESS; AGRICULTURAL CROPS; AGROCLIMATE; ASSOCIATION PATTERNS; CLIMATE DATA; DATA CHARTS; DATA MINING TECHNIQUES; IMAGE-BASED; IMAGE-BASED INFORMATION SYSTEMS; LARGE PARTS; MINING ASSOCIATIONS; NOAA AVHRR; REMOTE SENSING DATA; SATELLITE IMAGES; SENSOR TECHNOLOGIES; SLIDING WINDOW; SPATIAL DATA ACQUISITION; SYNTHETIC AND REAL DATA; VEGETATION INDEX;

ALGORITHMS; ASSOCIATION RULES; ASSOCIATIVE PROCESSING; CROPS; INFORMATION SYSTEMS; JAVA PROGRAMMING LANGUAGE; REMOTE SENSING; SUGAR (SUCROSE); SUGAR CANE; TECHNOLOGY TRANSFER; TIME SERIES; VEGETATION;

DATA MINING;

EID: 77954706943     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1774088.1774275     Document Type: Conference Paper

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