Optimizing distributed data mining applications based on object clustering methods
- DOI
- 10.1109/parelec.2006.57
- Published
- 2006
- Container
- Not recorded
- Publisher
- IEEE
- Open access
- no
Credibility signals
limited evidence Score 49/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1109/parelec.2006.57,
title = {Optimizing distributed data mining applications based on object clustering methods},
author = {Valérie Fiolet and Eryk Laskowski and Richard Olejnik and Lukasz Masko and Bernard Toursel and Marek Tudruj},
year = {2006},
doi = {10.1109/parelec.2006.57},
url = {https://doi.org/10.1109/parelec.2006.57}
}RIS
TY - JOUR TI - Optimizing distributed data mining applications based on object clustering methods AU - Valérie Fiolet AU - Eryk Laskowski AU - Richard Olejnik AU - Lukasz Masko AU - Bernard Toursel AU - Marek Tudruj PY - 2006 DO - 10.1109/parelec.2006.57 UR - https://doi.org/10.1109/parelec.2006.57 ER -
APA
Fiolet, V., Laskowski, E., Olejnik, R., Masko, L., Toursel, B., & Tudruj, M. (2006). Optimizing distributed data mining applications based on object clustering methods. https://doi.org/10.1109/parelec.2006.57
Source records
- hal · retrieved 2026-11-10T07:10:42.997Z