DBScholar

Back to papers

k-Shape: Efficient and Accurate Clustering of Time Series

Summary: k-Shape introduces a scalable iterative refinement for time-series clustering using a normalized cross-correlation distance to emphasize shape. Robust centroid computation yields homogeneous, well-separated clusters, with experiments showing it outperforms scalable baselines and most non-scalable rivals in accuracy. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5069
Venue
SIGMOD
Year
2015
Pagerank
0.00010305183
Overall Rank
1,579 | 89.17%
DOI
10.1145/2723372.2723779

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{paparrizos_sigmod15,
        title = {{k-Shape: Efficient and Accurate Clustering of Time Series}},
        author = {Paparrizos, John and Gravano, Luis},
        series = {{SIGMOD} '15},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2723372.2723779},
        url = {https://dl.acm.org/doi/10.1145/2723372.2723779},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 38 of 38 citing papers.

Rank Citing Paper Year Venue Pagerank
1,805 SAND: Streaming Subsequence Anomaly Detection 2021 VLDB 9.7116108e-05
1,949 Diagnosing Root Causes of Intermittent Slow Queries in Cloud Databases 2020 VLDB 9.430385e-05
2,004 TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection 2022 VLDB 9.3207067e-05
2,023 Decomposed Bounded Floats for Fast Compression and Queries 2021 VLDB 9.2950046e-05
3,447 Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection 2022 VLDB 7.4085215e-05
3,987 Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series 2023 VLDB 6.9722766e-05
4,234 GRAIL: Efficient Time-Series Representation Learning 2019 VLDB 6.8171563e-05
4,604 Debunking Four Long-Standing Misconceptions of Time-Series Distance Measures 2020 SIGMOD 6.6104585e-05
5,038 Time2Feat: Learning Interpretable Representations for Multivariate Time Series Clustering 2023 VLDB 6.3911449e-05
6,061 VergeDB: A Database for IoT Analytics on Edge Devices 2021 CIDR 5.9910733e-05
6,141 An Experimental Evaluation of Anomaly Detection in Time Series 2024 VLDB 5.9628456e-05
6,391 Fast-Forwarding to Desired Visualizations with zenvisage 2017 CIDR 5.8893647e-05
8,060 A New Distributional Treatment for Time Series and An Anomaly Detection Investigation 2022 VLDB 5.4958827e-05
8,622 Accelerating Product Quantization Query Execution Runtime 2021 SIGMOD 5.3985954e-05
9,377 LeaFi: Data Series Indexes on Steroids with Learned Filters 2025 SIGMOD 5.2755515e-05
9,448 Theseus: Navigating the Labyrinth of Time-Series Anomaly Detection 2022 VLDB 5.2665425e-05
9,477 Odyssey: An Engine Enabling The Time-Series Clustering Journey 2023 VLDB 5.2634238e-05
9,479 dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification 2022 SIGMOD 5.2634238e-05
9,482 ShapeSearch: Flexible Pattern-based Querying of Trend Line Visualizations 2018 VLDB 5.2634238e-05
9,733 SPARTAN: Data-Adaptive Symbolic Time-Series Approximation 2025 SIGMOD 5.227679e-05
10,256 HYDRA: A Multi-Level Hierarchy-Driven Approach for Robust Anomaly Detection in Time Series 2026 SIGMOD 5.093636e-05
10,271 MUFASA: Fast and Accurate Multivariate Time-Series Clustering 2026 SIGMOD 5.093636e-05
10,298 The Power of Anomaly Detection in Predictive Maintenance: [Experiments & Analysis] 2026 SIGMOD 5.093636e-05
10,607 CLaP - State Detection from Time Series 2026 VLDB 5.093636e-05
10,629 MS-Index: Fast Top-k Subsequence Search for Multivariate Time Series under Euclidean Distance 2026 VLDB 5.093636e-05
10,667 In-Database Time Series Clustering 2025 SIGMOD 5.093636e-05
10,747 A Structured Study of Multivariate Time-Series Distance Measures 2025 SIGMOD 5.093636e-05
10,796 Understanding the Black Box: A Deep Empirical Dive into Shapley Value Approximations for Tabular Data 2025 SIGMOD 5.093636e-05
10,859 Time Series Motif Discovery: A Comprehensive Evaluation 2025 VLDB 5.093636e-05
10,961 BURST: Rendering Clustering Techniques Suitable for Evolving Streams 2025 VLDB 5.093636e-05
10,977 TSB-AutoAD: Towards Automated Solutions for Time-Series Anomaly Detection 2025 VLDB 5.093636e-05
10,980 Beyond Compression: A Comprehensive Evaluation of Lossless Floating-Point Compression 2025 VLDB 5.093636e-05
11,107 Representative Time Series Discovery for Data Exploration 2025 VLDB 5.093636e-05
11,300 Time-Series Anomaly Detection: Overview and New Trends 2024 VLDB 5.093636e-05
11,420 F3 KM: Federated, Fair, and Fast k-means 2023 SIGMOD 5.093636e-05
11,435 Accelerating Similarity Search for Elastic Measures: A Study and New Generalization of Lower Bounding Distances 2023 VLDB 5.093636e-05
13,342 SAIL: A Voyage to Symbolic Approximation Solutions for Time-Series Analysis 2025 VLDB -
13,463 SAND in Action: Subsequence Anomaly Detection for Streams 2021 VLDB -
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

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

Previous Page 1 / 1 Next

Semantically Similar Papers