Mining the city data: Making sense of cities with self-organizing maps

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6731 LNCS, Issue , 2011, Pages 168-177

  Neme, Omar ^a   Pulido, J R G ^b   Neme, Antonio ^c,d  

^a INSTITUTO POLITÉCNICO NACIONAL   (Mexico)

^b University of   (Mexico)

^c AALTO UNIVERSITY   (Finland)

^d UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO   (Mexico)

Author keywords

data mining; Self organizing maps; urban analysis; urbanism

Indexed keywords

APPROPRIATE TECHNIQUES; CITY PLANNERS; COMPLEX STRUCTURE; ECONOMIC VARIABLES; KNOW-HOW; MEXICO CITY; SELF ORGANIZING; SOCIAL EXCLUSION; SOCIAL WELFARE; TRAFFIC FLOW; URBAN ANALYSIS; URBANISM; VISUAL INFORMATION;

AIR QUALITY; CONFORMAL MAPPING; DATA FLOW ANALYSIS; DATA MINING; PLANNING; POPULATION STATISTICS; REGIONAL PLANNING; TRAFFIC SURVEYS; TECHNOLOGY TRANSFER;

SELF ORGANIZING MAPS;

EID: 79959299889     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21566-7_17     Document Type: Conference Paper

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