YADING: Fast Clustering of Large-Scale Time Series Data
Summary: YADING—end-to-end time-series clustering via sampling: cluster a subset and assign the rest, with theory-backed bounds for distributional consistency and robustness to phase perturbation and noise using L1 and multi-density. On 100k×1k data, it is ~40× faster than DENCLUE 2.0 and ~1k× faster than DBSCAN/CLARANS; demonstrated in Microsoft product analyses. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Rui Ding
- 2. Qiang Wang
- 3. Yingnong Dang
- 4. Qiang Fu
- 5. Haidong Zhang
- 6. Dongmei Zhang
Incoming Citations (Sorted by Pagerank)
Showing 11 of 11 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6 | The R*-tree: An Efficient and Robust Access Method for Points and Rectangles | 1990 | SIGMOD | 0.0016162015 |
| 27 | Efficient and Effective Clustering Methods for Spatial Data Mining | 1994 | VLDB | 0.00080736878 |
| 129 | The X-tree: An Index Structure for High-Dimensional Data | 1996 | VLDB | 0.0004429571 |
| 243 | Locally Adaptive Dimensionality Reduction for Indexing Large Time Series Databases | 2001 | SIGMOD | 0.00031074984 |
| 270 | OPTICS: Ordering Points To Identify the Clustering Structure | 1999 | SIGMOD | 0.00029505642 |
| 341 | CURE: An Efficient Clustering Algorithm for Large Databases | 1998 | SIGMOD | 0.00026810548 |
| 539 | Fast Time Sequence Indexing for Arbitrary L_p Norms | 2000 | VLDB | 0.00020666392 |
| 1,097 | STING : A Statistical Information Grid Approach to Spatial Data Mining | 1997 | VLDB | 0.00014119975 |
| 3,338 | Fast Time-Series Searching with Scaling and Shifting | 1999 | PODS | 7.2040692e-05 |
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