LEADER 05457nam 22007215 450 001 996418223603316 005 20201110131125.0 010 $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$b[electronic resource] $e4th ECML PKDD Workshop, AALTD 2019, Würzburg, Germany, September 20, 2019, Revised Selected Papers /$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 $aLecture Notes in Artificial Intelligence ;$v11986 311 $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 ;$v11986 606 $aArtificial intelligence 606 $aComputers 606 $aComputer organization 606 $aApplication software 606 $aOptical data processing 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aInformation Systems and Communication Service$3https://scigraph.springernature.com/ontologies/product-market-codes/I18008 606 $aComputer Systems Organization and Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13006 606 $aComputer Applications$3https://scigraph.springernature.com/ontologies/product-market-codes/I23001 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22005 615 0$aArtificial intelligence. 615 0$aComputers. 615 0$aComputer organization. 615 0$aApplication software. 615 0$aOptical data processing. 615 14$aArtificial Intelligence. 615 24$aInformation Systems and Communication Service. 615 24$aComputer Systems Organization and Communication Networks. 615 24$aComputer 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 $a996418223603316 996 $aAdvanced analytics and learning on temporal data$91912486 997 $aUNISA