Temporal Periodicity

Terenziani, Paolo

doi:10.1007/978-1-4899-7993-3_405-2

Cited by 1 publication

(4 citation statements)

References 12 publications

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“…Within each cycle of 5 days, 2 inner cycles can be distinguished: the melphalan treatment, to be provided twice a day, for each of the 5 days, and the prednisone treatment, to be provid- [7]) have been considered, plus a very recent approach coping with intermittent events [6].…”

Section: Examplementioning

confidence: 99%

“…"ITE" relations can be modelled by NP relations in our approach. ■ E.g., the NP tuple <Mary,X|1,1,7,{[1,7]}, [1,7]}> in our approach represents the fact that Mary had a drug administration of the drug X during the first week of 2016. To model a single fact, the minimum and maximum cardinalities are set to "1", FT correspond to the valid time, Ppat coincides with FT and PrepT with its duration.…”

Section: Property 2 (Expressiveness)mentioning

confidence: 99%

“…First, we define a reduction operator R ITE . In the following, we use the auxiliary function Gran*({I1, …,In}) that takes in input a set of (convex) time intervals, and returns the granules it contains (e.g., Gran*({ [3,5], [7,8]})={3,4,5,7,8}).…”

Section: Property 4(b) Correctness Of the Manipulation Of Cardinalitiesmentioning

confidence: 99%

“…In TDB, periodicity has been studied to deal with "strongly periodic" events (see, e.g., [5,7]). Different approaches have been proposed to cope in an intensional way with periodicity.…”

Section: Related Workmentioning

confidence: 99%

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Nearly Periodic Facts in Temporal Relational Databases

Terenziani¹

2016

IEEE Trans. Knowl. Data Eng.

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Despite the huge amount of work devoted to the treatment of time within the relational context, few relevant temporal phenomena still remain to be addressed. One of them is the treatment of "nearly periodic events", i.e., events\facts that occur in intervals of time which repeat periodically (e.g., a meeting occurring twice each Monday, possibly not at regular times). Nearly periodic events are quite frequent in everyday life, and thus in many applicative contexts. Their treatment within the relational model is quite challenging, since it involves the integrated treatment of three aspects: (i) the number of repetitions, (ii) their periodicity, and (iii) temporal indeterminacy. Coping with this problem requires an in-depth extension of current temporal relational database techniques. In this paper, we introduce a new data model, and new definitions of relational algebraic operators coping with the above issues. We ascertain the properties of the new model and algebra, with emphasis on the expressiveness of our representation model, on the reducibility property, and on the correctness of the algebraic operators.

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Section: Examplementioning

confidence: 99%

Section: Property 2 (Expressiveness)mentioning

confidence: 99%

Section: Property 4(b) Correctness Of the Manipulation Of Cardinalitiesmentioning

confidence: 99%

“…In TDB, periodicity has been studied to deal with "strongly periodic" events (see, e.g., [5,7]). Different approaches have been proposed to cope in an intensional way with periodicity.…”

Section: Related Workmentioning

confidence: 99%

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