Outlying property detection with numerical attributes
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
The method in [9] is only applicable to ARIMA.
“Only applicable to ARIMA”
From A Survey on Explainable Anomaly Detection (2024) · cites this paper as [9]
The method in [9] has high explanation fidelity.
“High explanation fidelity”
From A Survey on Explainable Anomaly Detection (2024) · cites this paper as [9]
The citation lists haven’t been fetched yet
References 53 · Cited by 33
- Authors
- Angiulli, F., Fassetti, F., Manco, G., & Palopoli, L.
- Affiliations
- University of Calabria (IT)
- Institute for High Performance Computing and Networking (IT)
- Corresponding author
- Manco, Giuseppe
- Venue
- Data Mining and Knowledge Discovery
- Published
- 2016-03-29
- Volume
- 31
- Issue
- 1
- Pages
- 134-163
- ISSN
- 1384-5810 (ISSN-L)
- 1573-756X
- OpenAlex
- W2169930371
- Cited by
- 33
- References
- 53
- Citations by year
- 2025: 3 · 2024: 4 · 2023: 5 · 2022: 3 · 2021: 3 · 2020: 4 · 2019: 3 · 2018: 3 · 2017: 5
- FWCI
- 8.18
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Data Mining and Knowledge Discovery (publishedVersion)
- Archive of Doctoral Theses and Digital Collections (University of Calabria) (submittedVersion)
- Funders
- Israel Science Foundation
- Topics
- Physical Sciences › Computer Science › Information Systems › Data Mining Algorithms and Applications
- Physical Sciences › Computer Science › Artificial Intelligence › Anomaly Detection Techniques and Applications
- Physical Sciences › Computer Science › Computer Networks and Communications › Advanced Database Systems and Queries
- Keywords
- outlier detection, numerical attributes, categorical variables, parameter-free algorithms, mixed data
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 ›
Are you an author, or do you see a problem with this page? Request a review
