@article{924976,
      note = {Includes author index.},
      author = {Lemaire, Vincent. and Malinowski, Simon. and Bagnall,  Anthony. and Bondu, Alexis. and Guyet, Thomas. and  Tavenard, Romain.},
      url = {http://library.usi.edu/record/924976},
      title = {Advanced analytics and learning on temporal data : 4th  ECML PKDD Workshop, AALTD 2019, Würzburg, Germany,  September 20, 2019, Revised selected papers /. AALTD  (Workshop)},
      abstract = {This book constitutes the refereed proceedings of the 4th  ECML PKDD Workshop on Advanced Analytics and Learning on  Temporal Data, AALTD 2019, held in Würzburg, Germany, in  September 2019. The 7 full papers presented together with 9  poster papers were carefully reviewed and selected from 31  submissions. The papers cover topics such as temporal data  clustering; classification of univariate and multivariate  time series; early classification of temporal data; deep  learning and learning representations for temporal data;  modeling temporal dependencies; advanced forecasting and  prediction models; space-temporal statistical analysis;  functional data analysis methods; temporal data streams;  interpretable time-series analysis methods; dimensionality  reduction, sparsity, algorithmic complexity and big data  challenge; and bio-informatics, medical, energy  consumption, on temporal data.},
      doi = {https://doi.org/10.1007/978-3-030-39098-3},
      recid = {924976},
      pages = {1 online resource (x, 229 pages) :},
}