@article{1484652,
      recid = {1484652},
      author = {Ardakani, Saeid Pourroostaei, and Cheshmehzangi, Ali,},
      title = {Big data analytics for smart transport and healthcare  systems /},
      pages = {1 online resource (xvii, 190 pages) :},
      abstract = {This book aims to introduce big data solutions in urban  sustainability applications—mainly smart transportation and  healthcare systems. It focuses on machine learning  techniques and data processing approaches which have the  capacity to handle/process huge, live, and complex datasets  in real-time transportation and healthcare applications.  For this, several state-of-the-art data processing  approaches including data pre-processing, classification,  regression, and clustering are introduced, tested, and  evaluated to highlight their benefits and constraints where  data is sensitive, real-time, and/or semi-structured.},
      url = {http://library.usi.edu/record/1484652},
      doi = {https://doi.org/10.1007/978-981-99-6620-2},
}