Relevance of individual attributes and sets of attributes - Wrocław from the Odra River level

Published: 6 August 2024| Version 1 | DOI: 10.17632/tvcwkh6zky.1
Contributor:
Iwona Orzechowska-Szajda

Description

Results of conditional attribute significance analysis using Rseslib software.

Files

Steps to reproduce

The program is described in Rseslib User Guide (Wojna, Latkowski, Kowalski, RSESLIB: User Guide, accessed: 2024-08-01 [online]. Available: http://rseslib.mimuw.edu.pl/rseslib.pdf) in Section 17.1. As rough set methods are optimal for symbolic data, the program discretizes all numerical conditional attributes, that means each numerical attribute is transformed into a symbolic attribute. After downloading the library from Rseslib web page and unpacking it the program is run in a simple way with the command: java -cp rseslib.jar rseslib.example.AttributeSignificance [-d <discretization>] [-dcfg <discr config file>] [-m <max no of attributes>] <data file> [<output file>] where <discretization> is the name of the selected discretization method, <discr config file> is a configuration of the selected discretization, <max no of attributes> de fines which subsets of attributes the significance is calculated for - it is calculated for all subsets of the size less or equal to this value, <data file> is the name of the file with the data set to be analyzed, and <output file> is the name of the output file with the calculated significance of attribute sets. Only <data file> is required, the other parameters have default values and are optional.

Institutions

  • Uniwersytet Przyrodniczy we Wroclawiu

Categories

Landscape Evaluation

Licence