Rseslib

Rseslib 3: Library of Rough Set and Machine Learning Methods with Extensible Architecture. The paper presents a new generation of Rseslib library - a collection of rough set and machine learning algorithms and data structures in Java. It provides algorithms for discretization, discernibility matrix, reducts, decision rules and for other concepts of rough set theory and other data mining methods. The third version was implemented from scratch and in contrast to its predecessor it is available as a separate open-source library with API and with modular architecture aimed at high reusability and substitutability of its components. The new version can be used within Weka and with a dedicated graphical interface. Computations in Rseslib 3 can be also distributed over a network of computers.


References in zbMATH (referenced in 13 articles , 1 standard article )

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  1. Campagner, Andrea; Cabitza, Federico; Ciucci, Davide: The three-way-in and three-way-out framework to treat and exploit ambiguity in data (2020)
  2. Adam Gudyś, Marek Sikora, Łukasz Wróbel: RuleKit: A Comprehensive Suite for Rule-Based Learning (2019) arXiv
  3. Hu, Yi-Chung: Rough sets for pattern classification using pairwise-comparison-based tables (2013)
  4. Min, Fan; He, Huaping; Qian, Yuhua; Zhu, William: Test-cost-sensitive attribute reduction (2011) ioport
  5. Yamaguchi, Daisuke: Attribute dependency functions considering data efficiency (2009) ioport
  6. Pawlak, Zdzisław; Skowron, Andrzej: Rough sets and Boolean reasoning (2007)
  7. Bazan, Jan G.; Nguyen, Sinh Hoa; Nguyen, Hung Son; Skowron, Andrzej: Rough set methods in approximation of hierarchical concepts (2004)
  8. Bazan, Jan G.; Szczuka, Marcin S.; Wojna, Arkadiusz; Wojnarski, Marcin: On the evolution of rough set exploration system (2004)
  9. Bazan, Jan G.; Szczuka, Marcin S.; Wróblewski, Jakub: A new version of rough set exploration system (2002)
  10. Góra, Grzegorz; Wojna, Arkadiusz: RIONA: A new classification system combining rule induction and instance-based learning (2002)
  11. Tay, Francis E. H.; Shen, Lixiang: Economic and financial prediction using rough sets model (2002)
  12. Bazan, Jan G.; Szczuka, Marcin: RSES and RSESlib -- A collection of tools for rough set computations (2001)
  13. Ziarko, Wojciech (ed.); Yao, Yiyu (ed.): Rough set and current trends in computing. 2nd international conference, RSCTC 2000, Banff, Canada, October 16--19, 2000. Revised papers (2001)