Cited by 62Academic integrity and plagiarismSoftware Engineering ResearchAdvanced Text Analysis Techniques

Near Similarity Search and Plagiarism Analysis

Stein, Benno, zu Eissen, Sven Meyer·2006·Studies in Classification, Data Analysis, and Knowledge Organization

Integrity signals

Registry

Crossref · 10.1007/3-540-31314-1_52

Cites

13 of 13 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • 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

Cites

Flagged first, then by citations

1 of the 14 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Stein, B., & zu Eissen, S. M.
Affiliations
Bauhaus-Universität Weimar (DE)
Venue
Studies in Classification, Data Analysis, and Knowledge Organization
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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