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Survey on the State of Agile Practices Implementation in Pakistan
Survey on the State of Agile Practices Implementation in Pakistan
ISSN 2223-4985Journal from gdlhub / 2017-08-14 11:52:32
By : Siddhi Nath Rajan , Ashok K Sinha , J B Singh, International Journal of Information and Communication Technology Research
Created : 2012-06-23, with 1 files
Keyword : Spatial Data Base,SDT
Subject : Survey on the State of Agile Practices Implementation in Pakistan
Url : http://esjournals.org/journaloftechnology/archive/vol2no5/vol2no5_8.pdf
Document Source : Internet
In the core concept of spatial data mining we need to investigate the neighbors of many objects in the single run of typical data
mining algorithm. This means that in spatial data mining algorithm we have to efficiently process the neighborhood relations. An
integration of spatial data mining algorithms and the potential of spatial database management system (SDBMS) will help efficiently
providing general concept of neighborhood relation and its implementation. If properly integrated, this will speed up the industrial
application development of spatial database and applying the traditional data mining concept on that[1][4][5][6].
Here in this paper the neighborhood relation and neighbourhood index has been discussed and the related small set of database
primitives has been defined. The proposed basic operations reduce the search space and support well the typical data mining
algorithms.
Such database primitives have been implemented on top of a commercially available Spatial Database Management System
(SDBMS) Oracle10g [6][7].
In the core concept of spatial data mining we need to investigate the neighbors of many objects in the single run of typical data
mining algorithm. This means that in spatial data mining algorithm we have to efficiently process the neighborhood relations. An
integration of spatial data mining algorithms and the potential of spatial database management system (SDBMS) will help efficiently
providing general concept of neighborhood relation and its implementation. If properly integrated, this will speed up the industrial
application development of spatial database and applying the traditional data mining concept on that[1][4][5][6].
Here in this paper the neighborhood relation and neighbourhood index has been discussed and the related small set of database
primitives has been defined. The proposed basic operations reduce the search space and support well the typical data mining
algorithms.
Such database primitives have been implemented on top of a commercially available Spatial Database Management System
(SDBMS) Oracle10g [6][7].
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