Finding regional co-location patterns for sets of continuous variables in spatial datasets

GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems

Volumn , Issue , 2008, Pages 260-269

  Eick, Christoph F ^a   Ding, Wei ^b   Stepinski, Tomasz F ^c   Nicot, Jean Philippe ^d   Parmar, Rachana ^a  

^a University of Houston   (United States)

^b UNIVERSITY OF MASSACHUSETTS BOSTON   (United States)

^c LUNAR AND PLANETARY INSTITUTE   (United States)

^d UNIVERSITY OF TEXAS AT AUSTIN   (United States)

Author keywords

Clustering; Finding associations between; Regional co location mining; Regional knowledge discovery; Spatial data mining

Indexed keywords

ALGORITHM PARAMETERS; ARSENIC CONTAMINATION; CLUSTERING; CLUSTERING PROBLEMS; CO-LOCATED; CO-LOCATION PATTERNS; COLOCATIONS; CONTINUOUS DOMAIN; CONTINUOUS VARIABLES; DIFFERENT SCALE; DISCOVERY ALGORITHM; DOMAIN EXPERTS; FITNESS FUNCTIONS; HILL CLIMBING; INTERESTINGNESS; KNOWLEDGE DISCOVERY; MINING TECHNIQUES; NEIGHBORHOOD SIZE; SPATIAL DATA MINING; SPATIAL DATASETS; STATISTICAL DISTRIBUTION; VARIABLE NUMBER; Z-SCORES;

ARSENIC; FUNCTION EVALUATION; GEOGRAPHIC INFORMATION SYSTEMS; INFORMATION SYSTEMS; WATER WELLS;

MINING;

EID: 70449731039     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1463434.1463472     Document Type: Conference Paper

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