Abstract :
Data imputing uses to posit missing data values, as missing data have a negative effect on the computation validity of models. This study develops a genetic algorithm GA to optimize imputing for missing cost data of fans used in road tunnels by the Swedish Transport Administration Trafikverket . GA uses to impute the missing cost data using an optimized valid data period. The results show highly correlated data R squared 0.99 after imputing the missing data. Therefore, GA provides a wide search space to optimize imputing and create complete data. The complete data can be used for forecasting and life cycle cost analysis. Ritesh Kumar Pandey | Dr Asha Ambhaikar "Data Imputation by Soft Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: https://www.ijtsrd.com/papers/ijtsrd14112.pdf Paper URL: http://www.ijtsrd.com/computer-science/real-time-computing/14112/data-imputation-by-soft-computing/ritesh-kumar-pandey
Keyword :
data imputing, genetic algorithms (GA), R-Squared