@article{1450631,
      recid = {1450631},
      author = {Urenda, Julio C., and Kreinovich, Vladik,},
      title = {Algebraic approach to data processing : techniques and  applications /},
      pages = {1 online resource :},
      abstract = {The book explores a new general approach to selectingand  designing data processing techniques. Symmetry and  invariance ideas behind this algebraic approach have been  successful in physics, where many new theories are  formulated in symmetry terms. The book explains this  approach and expands it to new application areas ranging  from engineering, medicine, education to social sciences.  In many cases, this approach leads to optimal techniques  and optimal solutions. That the same data processing  techniques help us better analyze wooden structures, lung  dysfunctions, and deep learning algorithms is a good  indication that these techniques can be used in many other  applications as well. The book is recommended to  researchers and practitioners who need to select a data  processing techniqueor who want to design a new technique  when the existing techniques do not work. It is also  recommended to students who want to learn the  state-of-the-art data processing.},
      url = {http://library.usi.edu/record/1450631},
      doi = {https://doi.org/10.1007/978-3-031-16780-5},
}