The method for detecting plagiarism in a collection of documents

Nataliya Shakhovska · Iryna Dumyn

22 citations0/0 files storedIEEE International Conference on Computer Sciences and Information Technologies (CSIT)

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Academic integrity and plagiarism Software Engineering Research Advanced Text Analysis Techniques

Abstract

The development of the intelligent system for searching for plagiarism by combining two algorithms of searching fuzzy duplicate is considered in this article. This combining contributed to the high computational efficiency. Another advantage of the algorithm is its high efficiency when small-sized documents are compared. The practical use of the algorithm makes it possible to improve the quality of the detection of plagiarism. Also, this algorithm can be used in different systems text search.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 22 citations exist upstream.

References

2004Improved robustness of signature-based near-replica detection via lexicon randomization

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.