Consider a scenario where you're tasked with developing a plagiarism detection system for a large database of academic papers. How would you approach using the longest common substring to efficiently identify potential instances of plagiarism?
- By comparing the overall length of the papers without analyzing substrings.
- By extracting the longest common substrings and comparing their frequencies across different papers.
- By focusing on the title and abstract sections of the papers for substring comparison.
- By using only the conclusion sections for substring matching.
In a plagiarism detection system, utilizing the longest common substrings involves extracting these substrings and comparing their frequencies across different papers. This helps efficiently identify potential instances of plagiarism by pinpointing similarities in content.
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