LEADER 02930nam 2200457 450 001 996418295403316 005 20210312135048.0 010 $a3-030-65742-6 024 7 $a10.1007/978-3-030-65742-0 035 $a(CKB)4100000011665177 035 $a(DE-He213)978-3-030-65742-0 035 $a(MiAaPQ)EBC6426118 035 $a(PPN)252514696 035 $a(EXLCZ)994100000011665177 100 $a20210312d2021 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAdvanced analytics and learning on temporal data $e5th ECML PKDD Workshop, AALTD 2020, Ghent, Belgium, September 18, 2020, revised selected papers /$fVincent Lemaire [and five others] (editors) 205 $a1st ed. 2020. 210 1$aCham, Switzerland :$cSpringer,$d[2021] 210 4$dİ2021 215 $a1 online resource (X, 233 p. 88 illus., 67 illus. in color.) 225 1 $aLecture Notes in Artificial Intelligence ;$v12588 311 $a3-030-65741-8 327 $aTemporal 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 -- Bio-Informatics, Medical, Energy Consumption, Temporal Data. 330 $aThis book constitutes the refereed proceedings of the 4th ECML PKDD Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2019, held in Ghent, Belgium, in September 2020. The 15 full papers presented in this book were carefully reviewed and selected from 29 submissions. The selected papers are devoted to topics such as Temporal Data Clustering; Classification of Univariate and Multivariate Time Series; Early Classification of Temporal Data; Deep Learning and Learning Representations for Temporal Data; Modeling Temporal Dependencies; Advanced Forecasting and Prediction Models; Space-Temporal Statistical Analysis; Functional Data Analysis Methods; Temporal Data Streams; Interpretable Time-Series Analysis Methods; Dimensionality Reduction, Sparsity, Algorithmic Complexity and Big Data Challenge; and Bio-Informatics, Medical, Energy Consumption, Temporal Data. 410 0$aLecture Notes in Artificial Intelligence ;$v12588 606 $aNurse practitioners 615 0$aNurse practitioners. 676 $a610.730692 702 $aLemaire$b Vincent 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996418295403316 996 $aAdvanced Analytics and Learning on Temporal Data$92586678 997 $aUNISA