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- research-articleJune 2024
Data relative currency repair and anomaly detection based on rules
Expert Systems with Applications: An International Journal (EXWA), Volume 243, Issue Chttps://doi.org/10.1016/j.eswa.2023.122923AbstractData currency is a temporal reference of the data, it reflects the degree to which the data is current with the world it models. Currency has a significant impact on the quality and value of the data. Once the time stamp of the data is lost or ...
- research-articleApril 2020
Research on Parallel Data Currency Rule Algorithms
ICISS '20: Proceedings of the 3rd International Conference on Information Science and SystemsPages 24–28https://doi.org/10.1145/3388176.3388210Data currency is a temporal reference of data, which is related to the value of data and affects the results of data analysis and mining. The currency rules that reflect the time series features of data can be used not only for data repairing, but also ...
- ArticleOctober 2018
Multiple Data Quality Evaluation and Data Cleaning on Imprecise Temporal Data
AbstractWith data currency issues draw the attentions of both researchers and engineers, temporal data, which describes real world events with time tags in database, is playing a key role in data warehouse, data mining, and etc. At the same time, 4V ...
- research-articleNovember 2017
Development and evaluation of a continuous-time Markov chain model for detecting and handling data currency declines
Decision Support Systems (DSSY), Volume 103, Issue CPages 82–93https://doi.org/10.1016/j.dss.2017.09.006Data currency declines, caused by recorded data values becoming outdated, can damage the usability and accountability of data resources. Detecting and updating outdated values may improve data currency and reduce the associated damage, but such efforts ...
- articleOctober 2016
A minimized-rule based approach for improving data currency
Journal of Combinatorial Optimization (SPJCO), Volume 32, Issue 3Pages 812–841https://doi.org/10.1007/s10878-015-9904-8Repairing obsolete data items to the up-to-date values faces great challenges in the area of improving data quality. Previous methods of data repairing are based on either quality rules or statistical techniques, but both of the two types of methods ...