LEADER 05155nam 22007455 450 001 9910373928603321 005 20251121144859.0 010 $a3-030-39098-5 024 7 $a10.1007/978-3-030-39098-3 035 $a(CKB)4100000010121591 035 $a(DE-He213)978-3-030-39098-3 035 $a(MiAaPQ)EBC6113642 035 $a(PPN)242844979 035 $a(EXLCZ)994100000010121591 100 $a20200122d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvanced Analytics and Learning on Temporal Data $e4th ECML PKDD Workshop, AALTD 2019, Würzburg, Germany, September 20, 2019, Revised Selected Papers /$fedited by Vincent Lemaire, Simon Malinowski, Anthony Bagnall, Alexis Bondu, Thomas Guyet, Romain Tavenard 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (X, 229 p. 109 illus., 90 illus. in color.) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v11986 311 08$a3-030-39097-7 327 $aRobust Functional Regression for Outlier Detection -- Transform Learning Based Function Approximation for Regression and Forecasting -- Proactive Fiber Break Detection based on Quaternion Time Series and Automatic Variable Selection from Relational Data -- A fully automated periodicity detection in time series -- Conditional Forecasting of Water Level Time Series with RNNs -- Challenges and Limitations in Clustering Blood Donor Hemoglobin Trajectories -- Localized Random Shapelets -- Feature-Based Gait Pattern Classification for a Robotic Walking Frame -- How to detect novelty in textual data streams? A comparative study of existing methods -- Seq2VAR: multivariate time series representation with relational neural networks and linear autoregressive model -- Modelling Patient Sequences for Rare Disease Detection with Semi-supervised Generative Adversarial Nets -- Extended Kalman Filter for Large Scale Vessels Trajectory Tracking in Distributed Stream Processing Systems -- Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Datasets using Deep Learning -- Learning Stochastic Dynamical Systems via Bridge Sampling -- Quantifying Quality of Actions Using Wearable Sensor -- An Initial Study on Adapting DTW at Individual Query for Electrocardiogram Analysis. 330 $aThis book constitutes the refereed proceedings of the 4th ECML PKDD Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2019, held in Würzburg, Germany, in September 2019. The 7 full papers presented together with 9 poster papers were carefully reviewed and selected from 31 submissions. The papers cover topics such as temporal data clustering; classification of univariate and multivariate time series; early classification of temporal data; deep learning and learning representations for temporal data; modeling temporal dependencies; advanced forecasting and prediction models; space-temporal statistical analysis; functional data analysis methods; temporal data streams; interpretable time-series analysis methods; dimensionality reduction, sparsity, algorithmic complexity and big data challenge; and bio-informatics, medical, energy consumption, on temporal data. . 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v11986 606 $aArtificial intelligence 606 $aComputer networks 606 $aComputer engineering 606 $aApplication software 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aArtificial Intelligence 606 $aComputer Communication Networks 606 $aComputer Engineering and Networks 606 $aComputer and Information Systems Applications 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 615 0$aArtificial intelligence. 615 0$aComputer networks. 615 0$aComputer engineering. 615 0$aApplication software. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 14$aArtificial Intelligence. 615 24$aComputer Communication Networks. 615 24$aComputer Engineering and Networks. 615 24$aComputer and Information Systems Applications. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 676 $a006.31 702 $aLemaire$b Vincent$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMalinowski$b Simon$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBagnall$b Anthony$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBondu$b Alexis$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGuyet$b Thomas$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTavenard$b Romain$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910373928603321 996 $aAdvanced Analytics and Learning on Temporal Data$93083342 997 $aUNINA