DocumentCode :
2415757
Title :
Global and Local Spatial Data Mining on Literacy Rates of Bangladesh
Author :
Rahman, Rashedur M. ; Khan, Mridul ; Zahiduzzaman, A. K. M. ; Kashem, Nahyan
fYear :
2011
fDate :
16-18 May 2011
Firstpage :
120
Lastpage :
125
Abstract :
This research investigates the spatial properties of Bangladesh´s literacy rates and educational establishments at the Zila level. The data is from the 64 well defined administrative units of Bangladesh known as Zilas. For autocorrelation we use univariate Moran´s I and other various bivariate Exploratory Spatial Data Analysis (ESDA) techniques. Spatial clusters are found with Zilas that are surrounded with Zilas with high literacy rates. The results found from this research provide interesting and useful information to government, environmentalists and relevant decision makers´ in the assessment of the relative performance of a particular geographic area. The results could also be used for causal analysis by domain experts.
Keywords :
Correlation; Data analysis; Data mining; Geospatial analysis; Indexes; Random variables; Spatial databases; data mining; exploratory spatial data analysis; geographic information systems; spatial autocorrelation; spatial regression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Science (ICIS), 2011 IEEE/ACIS 10th International Conference on
Conference_Location :
Sanya, China
Print_ISBN :
978-1-4577-0141-2
Type :
conf
DOI :
10.1109/ICIS.2011.27
Filename :
6086459
Link To Document :
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