Which term refers to the process of filtering through data for relevant evidence in FTK?

The term that refers to the process of filtering through data for relevant evidence in FTK is data searching. This process involves systematically examining a dataset to find specific information that is pertinent to an investigation. Data searching allows examiners to identify, collect, and analyze evidence necessary for legal proceedings, making it a crucial step in digital forensics.

Data searching encompasses a range of techniques, which may include pattern recognition and keyword searches. In the context of FTK (Forensic Toolkit), it typically involves using built-in search functionalities to sift through large volumes of data and isolate the relevant pieces that could be instrumental in a case.

While terms like data sampling, data sorting, and data mining are related concepts within data analysis, they do not precisely capture the specialized act of strategically searching for evidence. Data sampling pertains to selecting a subset of data for analysis, data sorting involves organizing data in a specific order, and data mining refers to discovering patterns and relationships in large datasets. In contrast, data searching is specifically tailored to forensic tasks where identifying relevant evidence is the primary goal.