Finding Semantics in Time Series
Summary: Proposes pattern-based HMM (pHMM) to reveal the data-generating process behind time series, tying patterns to the system's dynamics. Iterative refinement uses pHMM to guide segmentation and clustering, with pruning strategies to speed learning. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Peng Wang
- 2. Haixun Wang
- 3. Wei Wang
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,065 | AutoPlait: Automatic Mining of Co-evolving Time Sequences | 2014 | SIGMOD | 6.4819215e-05 |
| 8,305 | Travel Cost Inference from Sparse, Spatio-Temporally Correlated Time Series Using Markov Models | 2013 | VLDB | 4.5435639e-05 |
| 9,147 | ISSD: Indicator Selection for Time Series State Detection | 2025 | SIGMOD | 4.3849295e-05 |
| 9,920 | Mining and Forecasting of Big Time-series Data | 2015 | SIGMOD | 4.2561557e-05 |
| 10,674 | Improving Time Series Data Compression in Apache IoTDB | 2025 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 65 | Fast Subsequence Matching in Time-Series Databases | 1994 | SIGMOD | 0.00062029383 |
| 1,161 | Querying and Mining of Time Series Data: Experimental Comparison of Representations and Distance Measures | 2008 | VLDB | 0.00013585236 |
| 3,029 | A Decade of Progress in Indexing and Mining Large Time Series Databases | 2006 | VLDB | 7.6803666e-05 |
| 4,824 | Managing Massive Time Series Streams with Multi-Scale Compressed Trickles | 2009 | VLDB | 5.8947137e-05 |
| 6,535 | Effective Variation Management for Pseudo Periodical Streams | 2007 | SIGMOD | 5.0243433e-05 |
| 9,109 | An Algorithmic Approach to Event Summarization | 2010 | SIGMOD | 4.3944086e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,739 | Time-Series Clustering: A Comprehensive Study of Data Mining, Machine Learning, and Deep Learning Methods | 2025 | VLDB | 4.1945683e-05 |
| 9,109 | An Algorithmic Approach to Event Summarization | 2010 | SIGMOD | 4.3944086e-05 |
| 6,144 | Recognizing Patterns in Streams with Imprecise Timestamps | 2010 | VLDB | 5.1889367e-05 |
| 1,253 | Anomaly Detection in Time Series: A Comprehensive Evaluation | 2022 | VLDB | 0.00013032074 |
| 13,113 | Fully Automated Correlated Time Series Forecasting in Minutes | 2025 | VLDB | - |
| 9,156 | Time2State: An Unsupervised Framework for Inferring the Latent States in Time Series Data | 2023 | SIGMOD | 4.3849295e-05 |
| 10,599 | Time Series Motif Discovery: A Comprehensive Evaluation | 2025 | VLDB | 4.1945683e-05 |
| 2,427 | Optimal Multi-scale Patterns in Time Series Streams | 2006 | SIGMOD | 8.8370658e-05 |
| 9,920 | Mining and Forecasting of Big Time-series Data | 2015 | SIGMOD | 4.2561557e-05 |
| 4,947 | Efficient Temporal Pattern Mining in Big Time Series Using Mutual Information | 2022 | VLDB | 5.8123636e-05 |