Efficient editing and data abstraction by finding homogeneous clusters

Research article (Annals of Mathematics and Artificial Intelligence, 2015) · cited 13× · AI/ML
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Efficient editing and data abstraction by finding homogeneous clusters

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Efficient editing and data abstraction by finding homogeneous clusters is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Efficient editing and data abstraction by finding homogeneous clusters. Retrieved May 24, 2026, from https://4ort.xyz/entity/efficient-editing-and-data-abstraction-by-finding-homogeneous-clusters
MLA “Efficient editing and data abstraction by finding homogeneous clusters.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/efficient-editing-and-data-abstraction-by-finding-homogeneous-clusters.
BibTeX @misc{4ortxyz_efficient-editing-and-data-abstraction-by-finding-homogeneous-clusters_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Efficient editing and data abstraction by finding homogeneous clusters}}, year = {2026}, url = {https://4ort.xyz/entity/efficient-editing-and-data-abstraction-by-finding-homogeneous-clusters}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Efficient editing and data abstraction by finding homogeneous clusters — https://4ort.xyz/entity/efficient-editing-and-data-abstraction-by-finding-homogeneous-clusters (retrieved 2026-05-24)

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