SCMFTS: Scalable and Distributed Complexity Measures and Features for Univariate and Multivariate Time Series in Big Data Environments

Francisco Javier Baldan, Daniel Peralta, Yvan Saeys, José Manuel Benítez. SCMFTS: Scalable and Distributed Complexity Measures and Features for Univariate and Multivariate Time Series in Big Data Environments. Int. J. Computational Intelligence Systems, 14(1):1-15, 2021. [doi]

@article{BaldanPSB21,
  title = {SCMFTS: Scalable and Distributed Complexity Measures and Features for Univariate and Multivariate Time Series in Big Data Environments},
  author = {Francisco Javier Baldan and Daniel Peralta and Yvan Saeys and José Manuel Benítez},
  year = {2021},
  doi = {10.1007/s44196-021-00036-7},
  url = {https://doi.org/10.1007/s44196-021-00036-7},
  researchr = {https://researchr.org/publication/BaldanPSB21},
  cites = {0},
  citedby = {0},
  journal = {Int. J. Computational Intelligence Systems},
  volume = {14},
  number = {1},
  pages = {1-15},
}