Publication2014
A secure two party hierarchical clustering approach for vertically partitioned data set with accuracy measure
The record
- Type
- Publication
- Date
- 1 January 2014
- Level
- National
- Journal
- Advances in Intelligent Systems and Computing
- Volume
- 235
- Pages
- 153-162
- Published
- 1 January 2014
- DOI
- 10.1007/978-3-319-01778-5_16
- Scopus ID
- 84927642535
- ISSN
- 21945357
- Authors
- 2
- Open access
- No
- Citations
- 14
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
9.c Significantly increase access to ICT and provide universal and affordable access to the internet
Privacy-preserving clustering algorithm for distributed data protects confidentiality while enabling knowledge extraction from multi-party datasets.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-3.2 Digital technology and artificial intelligence
Data privacy technology demonstrates digital technology innovation for secure computing.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- 1
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Citing this record
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KIIT Deemed to be University. “A secure two party hierarchical clustering approach for vertically partitioned data set with accuracy measure”. Kortex.