Hide and seek with repetitions
- Submitting institution
-
Loughborough University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1943
- Type
- D - Journal article
- DOI
-
10.1016/j.jcss.2018.10.004
- Title of journal
- Journal of Computer and System Sciences
- Article number
- -
- First page
- 42
- Volume
- 101
- Issue
- -
- ISSN
- 0022-0000
- Open access status
- Not compliant
- Month of publication
- November
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
-
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper impacted the state of the art by providing super-efficient algorithms that identify pseudo-occurrences of words in texts, while availing and expanding on notions from number theory, combinatorics on words and complexity theory, and, as a by-product, building suitable data structures.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -