Perl Status Reporter (SRr) on Spatiotemporal Data Mining
نویسندگان
چکیده
Perl Status Reporter (SRr) [1] is a data mining tool and in this research work we illustrate the use of SRr on spatio-temporal database. Spatio–temporal data are associated with time and space and used vastly in different applications of diversified areas such as geography, geology, city planning, agriculture, environmental study, traffic navigation, aerospace industries, and so on. We exploit spatio-temporal data which is composed of road traffic data of metro cities of United States of America. The traffic data file consists of traffic information, based on spatial location and time, in metro cities and we want to extract the piece of information from that huge file which is of our interest. SRr needs a flat data input file to perform the data extraction process. SRr reads input file and derives the desired information from it. The input file has two parameters of interest (firstKey and secondKey). The association of these two parameters describes the uniqueness of entries in that file and works as composite key similar to that in traditional databases. Based on the parameter of interest SRr generates an output file, named as firstKey_secondKey. SRr subsequently reads the input file line by line and extracts the data of interest and stores all the tuples having the same composite key, into that output file generated by SRr.
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