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To reference or cite the objects present in the Software Heritage archive, permalinks based on SoftWare Hash IDentifiers (SWHIDs) must be used.
Select below a type of object currently browsed in order to display its associated SWHID and permalink.

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Citations

This interface enables to generate software citations, provided that the root directory of browsed objects contains a citation.cff or codemeta.json file.
Select below a type of object currently browsed in order to generate citations for them.

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Generate software citation in BibTex format (requires biblatex-software package)
Generating citation ...
# Description file of Rseslib package for Weka
#
#

# Package name (required)
PackageName=Rseslib

# Version (required)
Version=3.2.5

#Date
Date=2022-11-21

# Title (required)
Title=Rough Sets and Analogy-Based Reasoning

Category=Classification

# Author (required)
Author=Arkadiusz Wojna,Grzegorz Gora,Wiktor Gromniak,Marcin Jalmuzna,Michal Kurzydlowski,Rafal Latkowski,Marcin Piliszczuk,Beata Zielosko

# Maintainer (required)
Maintainer=Arkadiusz Wojna <wojna@mimuw.edu.pl>

# License (required)
License=GPL 3.0

# Description (required)
Description=The package provides 3 classifiers. The rule classifier RoughSet uses the concepts of discernibility matrix, reducts and rules generated from reducts. \
It provides variety of algorithms generating reducts including giving more general rules local reducts and has modes to work with incomplete data and inconsistent data. \
The k nearest neighbors classifier RseslibKnn provides variety of distance measures that can work also for data with both numeric and nominal attributes and has built-in k optimization. \
It implements a fast neighbors searching algorithm making the classifier work for very large data sets. The classifier has also the mode to work as RIONA algorithm. \
The third classifier LocalKnn is the extension of the k nearest neighbors method that induces a local metric for each classified object. \
It is dedicated rather to large data sets (2000+ training instances) and improves accuracy particularly in case of data containing nominal attributes.

# Package URL for obtaining the package archive (required)
PackageURL=https://github.com/awojna/Rseslib/releases/download/v3.2.5/rseslib-3.2.5-weka.zip

# URL for further information
URL=http://rseslib.mimuw.edu.pl

# Dependencies
Depends=weka (>=3.8.0)

Software Heritage — Copyright (C) 2015–2025, The Software Heritage developers. License: GNU AGPLv3+.
The source code of Software Heritage itself is available on our development forge.
The source code files archived by Software Heritage are available under their own copyright and licenses.
Terms of use: Archive access, API— Contact— JavaScript license information— Web API

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