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Mining Approximate Top-K Subspace Anomalies in Multi-Dimensional Time-Series Data
Summary: Proposes a time-series data cube for multi-dimensional market segments to capture subspaces and detect anomalies via higher-level expectations. Introduces an efficient iterative subspace search to identify approximate top-k anomalies in each subspace; validated on synthetic and real-world data.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 9598
- Venue
- VLDB
- Year
- 2007
- Pagerank
- 4.5549459e-05
- Overall Rank
- 8,228 | 42.76%
- DOI
-
-
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 277 |
Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications |
1998 |
SIGMOD |
0.00029311426 |
| 472 |
Bottom-Up Computation of Sparse and Iceberg CUBEs |
1999 |
SIGMOD |
0.00022346384 |
| 701 |
Efficient Algorithms for Mining Outliers from Large Data Sets |
2000 |
SIGMOD |
0.00017938417 |
| 2,019 |
Finding Generalized Projected Clusters in High Dimensional Spaces |
2000 |
SIGMOD |
9.7707059e-05 |
| 2,448 |
Multi-Dimensional Regression Analysis of Time-Series Data Streams |
2002 |
VLDB |
8.8032353e-05 |
| 2,610 |
i3: Intelligent, Interactive Investigation of OLAP data cubes |
2000 |
SIGMOD |
8.4571036e-05 |
| 3,055 |
Mining Compressed Frequent-Pattern Sets |
2005 |
VLDB |
7.6448739e-05 |
| 3,157 |
High-Dimensional OLAP: A Minimal Cubing Approach |
2004 |
VLDB |
7.4656511e-05 |
| 3,518 |
FTW: Fast Similarity Search under the Time Warping Distance |
2005 |
PODS |
7.0153323e-05 |
| 4,552 |
Outlier Detection for High Dimensional Data |
2001 |
SIGMOD |
6.0922282e-05 |
| 6,405 |
Subsequence Matching on Structured Time Series Data |
2005 |
SIGMOD |
5.0784401e-05 |
| 6,736 |
CURE for Cubes: Cubing Using a ROLAP Engine |
2006 |
VLDB |
4.9459588e-05 |
| 7,578 |
Scaling and Time Warping in Time Series Querying |
2005 |
VLDB |
4.7061534e-05 |
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