CoDA: Interactive Cluster Based Concept Discovery

Summary: CoDA offers a workflow for discovering concepts from subspace clusters, guiding analysts through iterative suggestion and refinement. Its core is a concept-driven visual presentation of subspace patterns that lets knowledge shape concepts. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 10015
Venue: VLDB
Year: 2010
Pagerank: -
Overall Rank: 13,519 | 5.96%
DOI: -

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
8,168	Evaluating Clustering in Subspace Projections of High Dimensional Data	2009	VLDB	4.5701004e-05

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