Temporal data: Difference between revisions

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:where
:where
:d<sub>i</sub> &#61; f(t<sub>i</sub>)|[M&uuml;ller and Schumann, 2003]}}
:d<sub>i</sub> &#61; f(t<sub>i</sub>)|[M&uuml;ller and Schumann, 2003]}}
{{Quotation|Time series data is characterized by data elements being a function of time. In general, this data takes the following form:
:D &#61; {(t<sub>1</sub>, y<sub>1</sub>),( t<sub>2</sub>, y<sub>2</sub>), ..., (t<sub>n</sub>, y<sub>n</sub>)
:with
:y<sub>i</sub> &#61; f(t<sub>i</sub>)}|[Weber et al., 2001]}}


== Remarks ==
== Remarks ==

Revision as of 02:41, 2 June 2005

Temporal data refers to data, where changes over time or temporal aspects play a central role or are of interest.

Definitions

Temporal data is data that varies over time.
[Jensen and Snodgrass, 1999]


A temporal data denotes the evolution of an object characteristic over a period of time.
[Daassi and Nigay, 2004]


Time dependent data is characterized by data elements being a function of time. In general, data takes the form
d = f(t)

For data defined at discrete time stamps ti, this relation can be represented as:

D = {(t1, d1),( t2, d2), ..., (tn, dn)}
where
di = f(ti)
[Müller and Schumann, 2003]


Time series data is characterized by data elements being a function of time. In general, this data takes the following form:
D = {(t1, y1),( t2, y2), ..., (tn, yn)
with
yi = f(ti)}
[Weber et al., 2001]


Remarks

Applying exploratory (esp. timelines) as well as confirmatory methods, temporal data can be used to analyze the influence of time on a certain variable.

Synonyms

  • temporal data
  • time-oriented data
  • time-varying data
  • time-dependent data

References

  • [Daassi and Nigay, 2004]: Daassi, Chaouki and Nigay, Laurence and Fauvet, Marie-Christine, Visualization Process of Temporal Data, Lecture Notes in Computer Science, 3180, Springer-Verlag Heidelberg, 2004.
  • [Jensen and Snodgrass, 1999]: Jensen, Christian S. and Snodgrass, Richard T., Temporal Data Management, IEEE Transactions on Knowledge and Data Engineering, 11:36-44, 1999.
  • [Müller and Schumann, 2003]: Müller, W. and Schumann, H. S., Visualization Methods for Time-dependent Data - an Overview, In Chick, S. and Sanchez, P.J. and Ferrin, D. and Morrice, D. (editors), Proceedings of Winter Simulation 2003, New Orleans, USA, 2003