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| KEEL-dataset - data set description |
This section describes main characteristics of the NNGC1_dataset_E1_V1_009 data set and its attributes:
General information
| NNGC1_dataset_E1_V1_009 data set | |||
|---|---|---|---|
| Type | Time series | Origin | Real world |
| Features | 4 | (Real / Integer / Nominal) | (4 / 0 / 0) |
| Instances | 740 | Missing values? | No |
Attribute description
| Attribute | Domain |
|---|---|
| Lag04 | [53098.0,139840.0] |
| Lag03 | [53098.0,139840.0] |
| Lag02 | [53098.0,139840.0] |
| Lag01 | [53098.0,139840.0] |
| Lag00 | [53098.0,139840.0] |
Additional information
This time serie data contain Transportation data, including highway traffic, traffic data of cars in tunnels, traffic at automatic payment systems on highways, traffic of individuals on subway systems, domestic aircraft flights, shipping imports, border crossings, pipeline flows and rail transportation. The data contains a time serie of daily frequency.
In this section you can download some files related to the NNGC1_dataset_E1_V1_009 data set:
- The complete data set already formatted in KEEL format can be downloaded from
here
. - A copy of the data set already partitioned by means of a 5-folds cross validation procedure can be downloaded from here.
- The header file associated to this data set can be downloaded from here
. - This is not a native data set from the KEEL project. It has been obtained from the NNG Repository. The original page where the data set can be found is: http://www.neural-forecasting-competition.com/datasets.htm.
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