Data Preprocessing Questions
Data imputation using tabu search is a technique used in data preprocessing to fill in missing values in a dataset. Tabu search is a metaheuristic optimization algorithm that is applied to find the best possible values for the missing data points. It works by iteratively exploring the solution space and keeping track of the best solutions found so far, while also maintaining a tabu list to avoid revisiting previously explored solutions. This approach helps to minimize the impact of missing data on subsequent analysis and modeling tasks by providing estimated values for the missing entries based on the available information in the dataset.