ChlorineConcentration: Chlorine concentration data set

In moviedo5/fda.tsc: Functional Data Sets for Time Series Classification

Description

The data set consists of 166 nodes (pipe junctions) and measurement of the Chlorine concentration level at all these nodes during 15 days (one measurement for every 5 minutes, a total of 4310 time ticks).

Usage

data(ChlorineConcentration)

Format

The variables are as follows:

• df: data.frame with the following variables:

  • class: Corresponding class level of “ChlorineConcentration” curves with 3 classes with 1000, 1000 and 2307 observations per class respectively.

  • sample:Factor variable. In TSC database, the first 467 values (sample=train) are used for training sample and the rest of 3840 (sample=test) for testing.

• x: fdata class object with with n=930 curves (per row) in 930 discretization points (per column).

Details

This dataset was defined in a PhD thesis by Lei Li (Carnegie Mellon University). It was produced by EPANET that models the hydraulic and water quality behavior of water distribution piping systems. EPANET can track, in a given water network, the water level and pressure in each tank, the water flow in the pipes and the concentration of a chemical species (Chlorine in this case) throughout the network within a simulated duration.

Source

http://timeseriesclassification.com/description.php?Dataset=ChlorineConcentration

References

Li, L. (2011). Fast algorithms for mining co-evolving time series (No. CMU-CS-11-127). CARNEGIE INST OF TECH PITTSBURGH PA DEPT OF COMPUTER SCIENCE. http://www.cs.cmu.edu/~leili/pubs/leili-thesis.pdf

moviedo5/fda.tsc documentation built on May 16, 2019, 12:10 a.m.