WEKA: Waikato Environment for Knowledge Analysis. WEKA is a popular machine learning workbench with a development life of nearly two decades. This article provides an overview of the factors that we believe to be important to its success. Rather than focussing on the software’s functionality, we review aspects of project management and historical development decisions that likely had an impact on the uptake of the project.

References in zbMATH (referenced in 299 articles , 1 standard article )

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  1. Acar, Müge; Kasimbeyli, Refail: A polyhedral conic functions based classification method for noisy data (2021)
  2. Bakirov, Rashid; Fay, Damien; Gabrys, Bogdan: Automated adaptation strategies for stream learning (2021)
  3. Gao, Can; Zhou, Jie; Miao, Duoqian; Wen, Jiajun; Yue, Xiaodong: Three-way decision with co-training for partially labeled data (2021)
  4. Hamed, Ahmed; Sobhy, Ahmed; Nassar, Hamed: Distributed approach for computing rough set approximations of big incomplete information systems (2021)
  5. Malan, Katherine M.: Online landscape analysis for guiding constraint handling in particle swarm optimisation (2021)
  6. Maliah, Shlomi; Shani, Guy: Using POMDPs for learning cost sensitive decision trees (2021)
  7. Pang, Guansong; Cao, Longbing; Chen, Ling: Homophily outlier detection in non-IID categorical data (2021)
  8. Rezaei, Mostafa; Cribben, Ivor; Samorani, Michele: A clustering-based feature selection method for automatically generated relational attributes (2021)
  9. Zhang, Dan; Chen, Hua-Dong; Zulfiqar, Hasan; Yuan, Shi-Shi; Huang, Qin-Lai; Zhang, Zhao-Yue; Deng, Ke-Jun: iBLP: an XGBoost-based predictor for identifying bioluminescent proteins (2021)
  10. Aguilera, Ana; Subero, Alberto: Automatic gait classification patterns in spastic hemiplegia (2020)
  11. Anthony D. Blaom, Franz Kiraly, Thibaut Lienart, Yiannis Simillides, Diego Arenas, Sebastian J. Vollmer: MLJ: A Julia package for composable Machine Learning (2020) arXiv
  12. Bain, Travaughn C.; Avila-Herrera, Juan F.; Subasi, Ersoy; Subasi, Munevver Mine: Logical analysis of multiclass data with relaxed patterns (2020)
  13. Boughaci, Dalila; Alkhawaldeh, Abdullah A. K.: Appropriate machine learning techniques for credit scoring and bankruptcy prediction in banking and finance: a comparative study (2020)
  14. Granata, Ilaria; Guarracino, Mario R.; Kalyagin, Valery A.; Maddalena, Lucia; Manipur, Ichcha; Pardalos, Panos M.: Model simplification for supervised classification of metabolic networks (2020)
  15. Granata, Ilaria; Guarracino, Mario Rosario; Maddalena, Lucia; Manipur, Ichcha: Network distances for weighted digraphs (2020)
  16. Gupta, Vipin; Bhattacharyya, Abhijit; Pachori, Ram Bilas: Automated identification of epileptic seizures from EEG signals using FBSE-EWT method (2020)
  17. Jacobs, Kayla; Itai, Alon; Wintner, Shuly: Acronyms: identification, expansion and disambiguation (2020)
  18. Kangas, Kustaa; Koivisto, Mikko; Salonen, Sami: A faster tree-decomposition based algorithm for counting linear extensions (2020)
  19. Marrero-Ponce, Yovani; Teran, Julio E.; Contreras-Torres, Ernesto; García-Jacas, César R.; Perez-Castillo, Yunierkis; Cubillan, Nestor; Peréz-Giménez, Facundo; Valdés-Martini, José R.: LEGO-based generalized set of two linear algebraic 3D bio-macro-molecular descriptors: theory and validation by QSARs (2020)
  20. Nguyen, Thi Thanh Sang; Do, Pham Minh Thu: Classification optimization for training a large dataset with naïve Bayes (2020)

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Further publications can be found at: http://www.cs.waikato.ac.nz/ml/publications.html