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Mining Periodic-Frequent Patterns in Irregular Dense Temporal Databases Using Set Complements

open access: yesIEEE Access, 2023
Periodic-frequent patterns are a vital class of regularities in a temporal database. Most previous studies followed the approach of finding these patterns by storing the temporal occurrence information of a pattern in a list.
Pamalla Veena   +6 more
doaj   +2 more sources

TempoX: A disciplined approach for data management in multi-temporal and multi-schema-version XML databases

open access: yesJournal of King Saud University: Computer and Information Sciences, 2022
Although multi-temporal XML databases supporting schema versioning are used in several domains, like e-commerce, e-health, and e-government, existing database management systems and XML tools do not provide any support for managing (inserting, updating ...
Zouhaier Brahmia   +2 more
doaj   +3 more sources

Schema Vacuuming in Temporal Databases [PDF]

open access: yesIEEE Transactions on Knowledge and Data Engineering, 2009
Temporal databases facilitate the support of historical information by providing functions for indicating the intervals during which a tuple was applicable (along one or more temporal dimensions). Because data are never deleted, only superceded, temporal databases are inherently append-only resulting, over time, in a large historical sequence of ...
John F Roddick, J F Roddick
exaly   +4 more sources

Full Model Selection Problem and Pipelines for Time-Series Databases: Contrasting Population-Based and Single-point Search Metaheuristics

open access: yesIngeniería e Investigación, 2021
The increasing production of temporal data, especially time series, has motivated valuable knowledge to understand phenomena or for decision-making. As the availability of algorithms to process data increases, the problem of choosing the most suitable ...
Nancy Pérez-Castro   +3 more
doaj   +1 more source

k-PFPMiner: Top-k Periodic Frequent Patterns in Big Temporal Databases

open access: yesIEEE Access, 2023
Finding periodic-frequent patterns in temporal databases is a prominent data mining problem with bountiful applications. It involves discovering all patterns in a database that satisfy the user-specified minimum support ( $min{\_{}}sup$ ) and maximum ...
Palla Likhitha   +4 more
doaj   +1 more source

Analysing River Systems with Time Series Data Using Path Queries in Graph Databases

open access: yesISPRS International Journal of Geo-Information, 2023
Transportation networks are used in many application areas, like traffic control or river monitoring. For this purpose, sensors are placed in strategic points in the network and they send their data to a central location for storage, viewing and analysis.
Erik Bollen   +4 more
doaj   +1 more source

On periodicity in temporal databases [PDF]

open access: yesInformation Systems, 1995
The issue of periodicity is generally understood to be a desirable property of temporal data that should be supported by temporal database models and their query languages. Nevertheless, there has so far not been any systematic examination of how to incorporate this concept into a temporal DBMS.
Alexander Tuzhilin, James Clifford
openaire   +2 more sources

Finding Partial Periodic and Rare Periodic Patterns in Temporal Databases

open access: yesIEEE Access, 2023
Most of the periodic pattern mining algorithms extract fully periodic patterns by strictly monitoring the cyclic behaviour of patterns in transactional as well as temporal databases.
K. Jyothi Upadhya   +4 more
doaj   +1 more source

Timing errors and temporal uncertainty in clinical databases—A narrative review

open access: yesFrontiers in Digital Health, 2022
A firm concept of time is essential for establishing causality in a clinical setting. Review of critical incidents and generation of study hypotheses require a robust understanding of the sequence of events but conducting such work can be problematic ...
Andrew J. Goodwin   +16 more
doaj   +1 more source

Finding Stable Periodic-Frequent Itemsets in Big Columnar Databases

open access: yesIEEE Access, 2023
Stable periodic-frequent itemset mining is essential in big data analytics with many real-world applications. It involves extracting all itemsets exhibiting stable periodic behaviors in a temporal database.
Hong N. Dao   +5 more
doaj   +1 more source

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