
In several domains as statistics, signal processing or econometrics, a time series is a sequence of data points, measured typically at successive times spaced at uniform time intervals. Time series data have a natural temporal ordering. This makes time series analysis distinct from other common data analysis problems, in which there is no natural ordering of the observations. A time series model will generally reflect the fact that observations close together in time will be more closely related than observations further apart. In addition, time series models will often make use of the natural oneway ordering of time so that values for a given period will be expressed as deriving in some way from past values, rather than from future values.
The rest of the file contains all the examples belonging to the data set, expressed in comma sepparated values format. In the data sets, the first attribute (TimeStamp) does not appear in the @inputs. This is because that attribute is used to determine the position of each point in the series, but the model should not use it to predict the output value.
Below you can find all the Time series data sets available. For each data set, it is shown its name and its number of instances and attributes (Real/Integer/Nominal valued).
J.D. Wichard. Forecasting the NN5 time series with hybrid models. International Journal of Forecasting, 27(3):700707, 2011. By clicking in the column headers, you can order the table by names (alphabetically), by the number of examples or attributes. Clicking again will sort the rows in reverse order.If you have some example data sets and you would like to share them with the rest of the research community by means of this page, please be so kind as to send your data to the Webmaster Team with the following information:
If you have applied your methods to some of the problems presented here we will be glad of showing your results in this page. Please be so kind as to send the following information to Webmaster Team:
If you are interested on being informed of each update made in this page or you would like to comment on it, please contact with the Webmaster Team. 

