data reconstruction

Data reconstruction refers to the process of rebuilding or restoring lost, corrupted, or incomplete data to its original or usable form. This can involve using various techniques and algorithms to analyze existing information and infer or recreate the missing parts. In fields like digital forensics, statistics, and data analysis, data reconstruction helps recover valuable insights or restore integrity to datasets. The goal is to ensure that the information can be effectively used for decision-making, research, or other purposes, despite the original data being flawed or damaged.