000			05182nam a22006735i 4500
001			978-3-030-39098-3
003			DE-He213
005			20240730201606.0
007			cr nn 008mamaa
008			200122s2020 sz | s |||| 0|eng d
020			_a9783030390983 _9978-3-030-39098-3
024	7		_a10.1007/978-3-030-39098-3 _2doi
050		4	_aQ334-342
050		4	_aTA347.A78
072		7	_aUYQ _2bicssc
072		7	_aCOM004000 _2bisacsh
072		7	_aUYQ _2thema
082	0	4	_a006.3 _223
245	1	0	_aAdvanced Analytics and Learning on Temporal Data _h[electronic resource] : _b4th ECML PKDD Workshop, AALTD 2019, Würzburg, Germany, September 20, 2019, Revised Selected Papers / _cedited by Vincent Lemaire, Simon Malinowski, Anthony Bagnall, Alexis Bondu, Thomas Guyet, Romain Tavenard.
250			_a1st ed. 2020.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2020.
300			_aX, 229 p. 109 illus., 90 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v11986
505	0		_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.
520			_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. .
650		0	_aArtificial intelligence. _93407
650		0	_aComputer networks . _931572
650		0	_aComputer engineering. _910164
650		0	_aApplication software. _9167858
650		0	_aImage processing _xDigital techniques. _94145
650		0	_aComputer vision. _9167859
650	1	4	_aArtificial Intelligence. _93407
650	2	4	_aComputer Communication Networks. _9167860
650	2	4	_aComputer Engineering and Networks. _9167861
650	2	4	_aComputer and Information Systems Applications. _9167862
650	2	4	_aComputer Imaging, Vision, Pattern Recognition and Graphics. _931569
700	1		_aLemaire, Vincent. _eeditor. _0(orcid) _10000-0002-6030-2356 _4edt _4http://id.loc.gov/vocabulary/relators/edt _9167863
700	1		_aMalinowski, Simon. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9167864
700	1		_aBagnall, Anthony. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9167865
700	1		_aBondu, Alexis. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9167866
700	1		_aGuyet, Thomas. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9167867
700	1		_aTavenard, Romain. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9167868
710	2		_aSpringerLink (Online service) _9167869
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783030390976
776	0	8	_iPrinted edition: _z9783030390990
830		0	_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v11986 _9167870
856	4	0	_uhttps://doi.org/10.1007/978-3-030-39098-3
912			_aZDB-2-SCS
912			_aZDB-2-SXCS
912			_aZDB-2-LNC
942			_cELN
999			_c96613 _d96613