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)
Incoming Non-self Citations Over Time
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Authors
- 1. Elke Achtert
- 2. Hans-Peter Kriegel
- 3. Erich Schubert
- 4. Arthur Zimek
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,755 | A Framework for Clustering Uncertain Data | 2015 | VLDB | 5.3390219e-05 |
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Outgoing Citations (Sorted by Pagerank)
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 |
|---|---|---|---|---|
| 697 | Efficient Algorithms for Mining Outliers from Large Data Sets | 2000 | SIGMOD | 0.00017964755 |
| 1,596 | Fast Algorithms for Projected Clustering | 1999 | SIGMOD | 0.00011210688 |
| 2,023 | Finding Generalized Projected Clusters in High Dimensional Spaces | 2000 | SIGMOD | 9.7586371e-05 |
| 4,125 | Computing Clusters of Correlation Connected Objects | 2004 | SIGMOD | 6.4248096e-05 |
| 4,549 | Outlier Detection for High Dimensional Data | 2001 | SIGMOD | 6.0866685e-05 |
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