Which of the following best describes the function of statistical or lexicon in document matching?

The function of statistical or lexicon methods in document matching primarily involves utilizing predefined patterns to assess similarities or differences among documents. This approach often relies on the analysis of text characteristics, such as word frequency, term usage, or semantic contexts determined from a dictionary or set of known terms, to find matches or variations. By recognizing and matching these patterns within documents, it becomes feasible to categorize, organize, or identify documents that share specific characteristics or content, aiding in tasks like plagiarism detection and information retrieval.

While other options touch on relevant technologies or functions within the realm of data security and handling, they do not accurately capture the specific role of statistical or lexicon methods in the context of document matching. These alternative functions serve different purposes, such as visual representation (graphics), protecting confidentiality (anonymizing), or understanding usage trends (behavior analysis), but they do not pertain directly to the core functionality of matching documents through predefined patterns.