Temporal Rules Discovery for Web Data Cleaning

Summary: Temporal rules discovery for web data cleaning embeds fact durations in rule mining to address sparsity, delays, and noisy extractions. Uses ML-based associations, outlier detection, and aggressive repair during mining; on real data, precision goes 0.37→0.84 and F-measure up ~40%. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 11325
Venue: VLDB
Year: 2016
Pagerank: 5.8399195e-05
Overall Rank: 4,904 | 65.89%
DOI: -

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 11 of 11 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
1,337	HoloDetect: Few-Shot Learning for Error Detection	2019	SIGMOD	0.00012497164
1,612	Detecting Data Errors: Where are we and what needs to be done?	2016	VLDB	0.00011142794
3,467	Data Profiling – A Tutorial	2017	SIGMOD	7.069081e-05
3,897	SLiMFast: Guaranteed Results for Data Fusion and Source Reliability	2017	SIGMOD	6.6554845e-05
5,192	Pattern Functional Dependencies for Data Cleaning	2020	VLDB	5.6375087e-05
5,506	Exploring Change – A New Dimension of Data Analytics	2019	VLDB	5.473324e-05
5,978	Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond	2021	SIGMOD	5.2453012e-05
8,590	Exploratory Training: When Annotators Learn About Data	2023	SIGMOD	4.4896282e-05
9,348	GIDCL: A Graph-Enhanced Interpretable Data Cleaning Framework with Large Language Models	2024	SIGMOD	4.3526427e-05
9,810	Rheem: Enabling Multi-Platform Task Execution	2016	SIGMOD	4.278405e-05
11,456	Temporal Dependencies for Graphs	2021	SIGMOD	4.1945683e-05

Outgoing Citations (Sorted by Pagerank)

Showing 15 of 15 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
224	CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies	2004	SIGMOD	0.00032746205
265	A Cost-Based Model and Effective Heuristic for Repairing Constraints by Value Modification	2005	SIGMOD	0.00029763412
371	A Bayesian Approach to Discovering Truth from Conflicting Sources for Data Integration	2012	VLDB	0.00025389696
732	Discovering Data Quality Rules	2008	VLDB	0.00017465093
1,012	NADEEF: A Commodity Data Cleaning System	2013	SIGMOD	0.0001464733
1,197	The LLUNATIC Data-Cleaning Framework	2013	VLDB	0.00013390321
1,211	Truth Finding on the Deep Web: Is the Problem Solved?	2013	VLDB	0.00013257101
1,624	Sampling the Repairs of Functional Dependency Violations under Hard Constraints	2010	VLDB	0.00011099222
2,405	Linking Temporal Records	2011	VLDB	8.8815018e-05
2,420	From Data Fusion to Knowledge Fusion	2014	VLDB	8.8530994e-05
2,617	Extraction and Integration of Partially Overlapping Web Sources	2013	VLDB	8.4462621e-05
2,946	BigDansing: A System for Big Data Cleansing	2015	SIGMOD	7.8372441e-05
6,754	Modeling Entity Evolution for Temporal Record Matching	2014	SIGMOD	4.9384574e-05
7,345	Linking Temporal Records for Profiling Entities	2015	SIGMOD	4.756212e-05
8,722	Preference-aware Integration of Temporal Data	2015	VLDB	4.4606662e-05

Semantically Similar Papers

Overall Rank	Paper	Year	Venue	Pagerank
7,287	Discovering Association Rules from Big Graphs	2022	VLDB	4.7762276e-05
9,355	Discovering Top-k Rules using Subjective and Objective Criteria	2023	SIGMOD	4.3514328e-05
10,061	Cleaning Time Series under Seasonal and Trend Constraints	2026	SIGMOD	4.1945683e-05
1,627	Data Cleaning: Overview and Emerging Challenges	2016	SIGMOD	0.00011086905
7,345	Linking Temporal Records for Profiling Entities	2015	SIGMOD	4.756212e-05
9,649	DAFDiscover: Robust Mining Algorithm for Dynamic Approximate Functional Dependencies on Dirty Data	2024	VLDB	4.3109001e-05
9,847	Discovering Top-k Relevant and Diversified Rules	2024	SIGMOD	4.2721228e-05
3,192	Towards Dependable Data Repairing with Fixing Rules	2014	SIGMOD	7.4095761e-05
4,521	A Temporal-Probabilistic Database Model for Information Extraction	2013	VLDB	6.1168322e-05
732	Discovering Data Quality Rules	2008	VLDB	0.00017465093