Akane: Perplexity-Guided Time Series Data Cleaning

Summary: Akane reframes time-series cleaning as perplexity minimization: exploit recurrent patterns like token n-grams, then pick edits under a cleaning budget to lower sequence perplexity. Key novelty is perplexity-guided dirty-point detection/repair with a 4-phase framework plus budget selection and pattern-aggregation heuristics. (summarized by gpt-5.4-mini on May 24 2026)

Paper ID: 7015
Venue: SIGMOD
Year: 2024
Pagerank: 5.7020425e-05
Overall Rank: 7,104 | 51.27%
DOI: 10.1145/3654993

Incoming Non-self Citations Over Time

Authors

1. Xiaoyu Han (Fudan University)
2. Haoran Xiong (Fudan University)
3. Zhenying He (Fudan University)
4. Peng Wang (Fudan University)
5. Chen Wang (Tsinghua University)
6. X. Sean Wang (Fudan University)

BibTeX Citation

@inproceedings{han_sigmod24,
        title = {{Akane: Perplexity-Guided Time Series Data Cleaning}},
        author = {Han, Xiaoyu and Xiong, Haoran and He, Zhenying and Wang, Peng and Wang, Chen and Wang, X. Sean},
        series = {{SIGMOD} '24},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3654993},
        url = {https://dl.acm.org/doi/10.1145/3654993},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,372	From Suspicious Errors to Valid Data: On Repairing Spatio-Temporal Data via Spatial and Temporal Dependencies	2026	SIGMOD	5.093636e-05
10,500	SHoTClean: Bridging Soft and Hard Constraints for Multivariate Time Series Cleaning	2026	SIGMOD	5.093636e-05
10,784	The Best of Both Worlds: On Repairing Timestamps and Attribute Values for Multivariate Time Series	2025	SIGMOD	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 16 of 16 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
112	HoloClean: Holistic Data Repairs with Probabilistic Inference	2017	VLDB	0.00032801121
142	LOF: Identifying Density-Based Local Outliers	2000	SIGMOD	0.0002962566
185	A Cost-Based Model and Effective Heuristic for Repairing Constraints by Value Modification	2005	SIGMOD	0.00026231189
661	Don’t be SCAREd: Use SCalable Automatic REpairing with Maximal Likelihood and Bounded Changes	2013	SIGMOD	0.0001519162
955	Truth Finding on the Deep Web: Is the Problem Solved?	2013	VLDB	0.00012996675
1,029	Anomaly Detection in Time Series: A Comprehensive Evaluation	2022	VLDB	0.00012557065
1,101	KATARA: A Data Cleaning System Powered by Knowledge Bases and Crowdsourcing	2015	SIGMOD	0.00012168934
1,331	Adaptive Cleaning for RFID Data Streams	2006	VLDB	0.00011130651
1,842	Sequential Dependencies	2009	VLDB	9.6345922e-05
2,995	Time Series Data Cleaning: From Anomaly Detection to Anomaly Repairing	2017	VLDB	7.8750141e-05
4,994	Sequential Data Cleaning: A Statistical Approach	2016	SIGMOD	6.4092706e-05
5,030	Learning-Based Cleansing for Indoor RFID Data	2016	SIGMOD	6.3954412e-05
5,043	Efficient Temporal Pattern Mining in Big Time Series Using Mutual Information	2022	VLDB	6.3886615e-05
6,186	SCREEN: Stream Data Cleaning under Speed Constraints	2015	SIGMOD	5.9487817e-05
7,314	Time Series Data Validity	2023	SIGMOD	5.6471526e-05
7,387	PIClean: A Probabilistic and Interactive Data Cleaning System	2019	SIGMOD	5.6270554e-05

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