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Coil 1999 Competition Data Data Set
Download: Data Folder, Data Set Description

Abstract: This data set is from the 1999 Computational Intelligence and Learning (COIL) competition. The data contains measurements of river chemical concentrations and algae densities.

Data Set Characteristics:  

Multivariate

Number of Instances:

340

Area:

Physical

Attribute Characteristics:

Categorical, Real

Number of Attributes:

17

Date Donated

1999-09-09

Associated Tasks:

N/A

Missing Values?

No

Number of Web Hits:

31146


Source:

Original Owner:

ERUDIT
European Network for Fuzzy Logic and Uncertainty Modelling in Information Technology
http://www.erudit.de/

Donor:

Jens Strackeljan
Technical University Clausthal
Institute of Applied Mechanics
Graupenstr. 3, 38678 Clausthal-Zellerfeld, Germany
tmjs '@' itm.tu-clausthal.de


Data Set Information:

This data comes from a water quality study where samples were taken from sites on different European rivers of a period of approximately one year. These samples were analyzed for various chemical substances including: nitrogen in the form of nitrates, nitrites and ammonia, phosphate, pH, oxygen, chloride. In parallel, algae samples were collected to determine the algae population distributions.

The competition involved the prediction of algal frequency distributions on the basis of the measured concentrations of the chemical substances and the global information concerning the season when the sample was taken, the river size and its flow velocity. The competition instructions contain additional information on the prediction task: [Web Link]


Attribute Information:

There are a total of 340 examples each containing 17 values. The first 11 values of each data set are the season, the river size, the fluid velocity and 8 chemical concentrations which should be relevant for the algae population distribution. The last 8 values of each example are the distribution of different kinds of algae. These 8 kinds are only a very small part of the whole community, but for the competition we limited the number to 7. The value 0.0 means that the frequency is very low. The data set also contains some empty fields which are labeled with the string XXXXX.

The training data are saved in the file: analysis.data (ASCII format).

Table 1: Structure of the file analysis.data

A ... K a ... g
CC1,1 ... CC1,11 AG1,1 ... AG1,7
...
CC200,1 ... CC200,11 AG200,1 ... AG200,7


Explanation:
CCi,j: Chemical concentration or river characteristic
AGi,j: Algal frequency

The chemical parameters are labeled as A, ..., K. The columns of the algaes are labeled as a, ..,g.


Relevant Papers:

N/A



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