Discovery of geospatial discriminating patterns from remote sensing datasets

Society for Industrial and Applied Mathematics - 9th SIAM International Conference on Data Mining 2009, Proceedings in Applied Mathematics

Volumn 1, Issue , 2009, Pages 421-432

  Ding, Wei ^a   Stepinski, Tomasz ^b   Salazar, Josue ^c  

^a UNIVERSITY OF MASSACHUSETTS BOSTON   (United States)

^b LUNAR AND PLANETARY INSTITUTE   (United States)

^c UNIVERSITY OF HOUSTON CLEAR LAKE   (United States)

Author keywords

Emerging patterns; Remote sensing datasets; Spatial data mining; Spatial frequent patterns

Indexed keywords

ASSOCIATION ANALYSIS; CONTROLLING FACTORS; DATA DEPENDENCIES; DATA MINING TECHNIQUES; DATA SETS; EMERGING PATTERNS; EMPIRICAL MODEL; EXPLANATORY VARIABLES; FREQUENT PATTERNS; GEO-SPATIAL; GEOSPATIAL FEATURES; INFORMATION CONTENTS; ITERATION METHOD; REAL-WORLD APPLICATION; REMOTELY SENSED DATA; SIMILARITY MEASURE; SPATIAL CELLS; SPATIAL DATA MINING; SPATIAL DISTRIBUTION; SPATIAL DOMAINS; SPATIAL PATTERNS; VEGETATION COVER; VEGETATION GROWTH;

DATA MINING; SIZE DISTRIBUTION; VEGETATION;

REMOTE SENSING;

EID: 72849131587     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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