1995
DOI: 10.1007/978-1-4471-3033-8_12
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Time Series, a Neglected Issue in Temporal Database Research?

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Cited by 18 publications
(5 citation statements)
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“…They exemplify it using financial data. In [6] Calanda is compared with temporal systems designed for time series.…”
Section: Database Approachesmentioning
confidence: 99%
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“…They exemplify it using financial data. In [6] Calanda is compared with temporal systems designed for time series.…”
Section: Database Approachesmentioning
confidence: 99%
“…Bitemporal data manages historical data and events in databases by associating pairs of valid and transaction time intervals to data. Bitemporal data and time series data are not exactly the same, and so they cannot be treated interchangeably [6], however, there are some similarities that can be considered. DBMS research represents bitemporal data as relations extended with time intervals attributes and enlarge relational operations to deal with time related aspects [17,18].…”
Section: Database Approachesmentioning
confidence: 99%
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“…Based on the replication infrastructure described in section 5, we have realized a replication system as a component of Calanda [7,8], which is a special-purpose DBMS for the management of time series [26]. Calanda is developed and used within UBS, the largest Swiss bank.…”
Section: A Replication System For the Calanda Time Series Manage-mentmentioning
confidence: 99%
“…By this, they extend research done in the last decades where several dedicated mappings from design models to different database technologies following different data paradigms have been proposed, e.g., see (Gogolla 2005). However, currently there is a lack of approaches which deal with the explicit mapping of design models to time series databases which can be considered as a special type of temporal databases (Schmidt et al. 1995;Böhlen et al 2018).…”
Section: Introductionmentioning
confidence: 99%