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Interactive Data Mining with 3D-Parallel-Coordinate-Trees

Summary: 3D-parallel-coordinate-trees extend parallel coordinates into 3D to place more axes adjacently, addressing axis-ordering gaps in high-dimensional visualization. An interactive tool with axis-arrangement strategies enables exploration of complex data sets for data mining. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4630
Venue
SIGMOD
Year
2013
Pagerank
4.1945683e-05
Overall Rank
12,040 | 16.24%
DOI
-

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Incoming Citations (Sorted by Pagerank)

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Rank Citing Paper Year Venue Pagerank
5,755 A Framework for Clustering Uncertain Data 2015 VLDB 5.3402052e-05
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Showing 5 of 5 cited papers.

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

Rank Cited Paper Year Venue Pagerank
701 Efficient Algorithms for Mining Outliers from Large Data Sets 2000 SIGMOD 0.00017938417
1,595 Fast Algorithms for Projected Clustering 1999 SIGMOD 0.00011222442
2,019 Finding Generalized Projected Clusters in High Dimensional Spaces 2000 SIGMOD 9.7707059e-05
4,162 Computing Clusters of Correlation Connected Objects 2004 SIGMOD 6.3937203e-05
4,552 Outlier Detection for High Dimensional Data 2001 SIGMOD 6.0922282e-05
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