The Impact of Memory Dependency on Precision Forecast - An Analysis on Different Types of Time Series Databases

Ricardo Moraes Muniz da Silva, Mauricio Kugler, Taizo Umezaki. The Impact of Memory Dependency on Precision Forecast - An Analysis on Different Types of Time Series Databases. In Maria De Marsico, Gabriella Sanniti di Baja, Ana L. N. Fred, editors, Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2017, Porto, Portugal, February 24-26, 2017. pages 575-582, SciTePress, 2017. [doi]

@inproceedings{SilvaKU17,
  title = {The Impact of Memory Dependency on Precision Forecast - An Analysis on Different Types of Time Series Databases},
  author = {Ricardo Moraes Muniz da Silva and Mauricio Kugler and Taizo Umezaki},
  year = {2017},
  doi = {10.5220/0006203405750582},
  url = {https://doi.org/10.5220/0006203405750582},
  researchr = {https://researchr.org/publication/SilvaKU17},
  cites = {0},
  citedby = {0},
  pages = {575-582},
  booktitle = {Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2017, Porto, Portugal, February 24-26, 2017},
  editor = {Maria De Marsico and Gabriella Sanniti di Baja and Ana L. N. Fred},
  publisher = {SciTePress},
  isbn = {978-989-758-222-6},
}