Relative Parameter Quantification in Data Mining - A Case Study on Telecom Cellular Mobile Service Providers in Terms of QOS in India

Mahesh Kandakatla, Prashanth Bolukonda, Lokanatha C. Reddy
2015 International Journal of Data Mining & Knowledge Management Process  
Interpreting available data is a focal issue in data mining. Gathering of primary data is a difficult and expensive affair for assessing the trends for any business decision especially when multiple players are present. There is no uniform formula-type work procedure to deduce information from a vast data set especially if the data formats in the secondary sources are not uniform and need enormous cleansing to mend the data for statistical analysis. In this paper, an incremental approach to
more » ... tal approach to cleanse data using a simple yet extended procedure is presented and it is shown how to deduce conclusions to facilitate business decisions. Freely available Indian Telecom Industry's data over a year is used to illustrate this process. It is shown how to conclude the superiority of one telecom service provider over the others comparing different parameters like network availability, customer service quality etc. using a relative parameter quantification technique. It is found that this method is computationally less costly than the other known methods.
doi:10.5121/ijdkp.2015.5503 fatcat:rwpdlwfeofeupo5ohhbt7dygcy