Near Similarity Search and Plagiarism Analysis
Integrity signals
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Summary-using methods are demanding according to necessary computing resources.
“These methods are demanding according to the necessary computing resources (Stein & Zu Eissen, 2006).”
From Taxonomy of academic plagiarism methods (2021) · cites this paper as Stein & Zu Eissen, 2006
Examples of algorithms and methods of using summaries are Harrison, Karp-Rabin, Running Karp-Rabin Greedy String Tiling, Las Vegas, Monte Carlo, winnowing, Wu-Manber's algorithm for multiple samples, and the method of chunking.
“Examples of algorithms and methods of using summaries are the algorithms Harrison, Karp-Rabin, Running Karp-Rabin Greedy String Tiling, Las Vegas, Monte Carlo, winnowing (Schleimer et al., 2003), Wu-Manber's algorithm for multiple samples (Wu & Manber, 1994), the method of chunking (Stein & Zu Eissen, 2006) etc.”
From Taxonomy of academic plagiarism methods (2021) · cites this paper as Stein & Zu Eissen, 2006
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- Authors
- Stein, B., & zu Eissen, S. M.
- Affiliations
- Bauhaus-Universität Weimar (DE)
- ORCID
- Stein, Benno
- Venue
- Studies in Classification, Data Analysis, and Knowledge Organization
- Publisher
- Springer Berlin Heidelberg
- Published
- 2006
- Pages
- 430-437
- ISSN
- 1431-8814 (ISSN-L)
- OpenAlex
- W1506254138
- Cited by
- 62
- References
- 14
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 3 · 2021: 2 · 2020: 1 · 2019: 1 · 2018: 4 · 2017: 3 · 2016: 6 · 2015: 13 · 2014: 5 · 2013: 3 · 2012: 1
- FWCI
- 15.84
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Studies in classification, data analysis, and knowledge organization (publishedVersion)
- Topics
- Social Sciences › Safety Research › Academic integrity and plagiarism
- Physical Sciences › Computer Science › Information Systems › Software Engineering Research
- Physical Sciences › Computer Science › Artificial Intelligence › Advanced Text Analysis Techniques
- Keywords
- text plagiarism detection, fingerprints, chunking, vector space model, MD5 hashing, document similarity, computational efficiency
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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