國立虎尾科技大學 |

Advanced Analytics and Learning on Temporal Data = 6th ECML PKDD Workshop, AALTD 2021, Bilbao, Spain, September 13, 2021, Revised Selected Papers /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Advanced Analytics and Learning on Temporal Data/ edited by Vincent Lemaire, Simon Malinowski, Anthony Bagnall, Thomas Guyet, Romain Tavenard, Georgiana Ifrim.
Reminder of title:	6th ECML PKDD Workshop, AALTD 2021, Bilbao, Spain, September 13, 2021, Revised Selected Papers /
other author:	Lemaire, Vincent.
Description:	X, 195 p. 68 illus., 57 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence. -
Online resource:	https://doi.org/10.1007/978-3-030-91445-5
ISBN:	9783030914455

Advanced Analytics and Learning on Temporal Data = 6th ECML PKDD Workshop, AALTD 2021, Bilbao, Spain, September 13, 2021, Revised Selected Papers /
Advanced Analytics and Learning on Temporal Data6th ECML PKDD Workshop, AALTD 2021, Bilbao, Spain, September 13, 2021, Revised Selected Papers /[electronic resource] :edited by Vincent Lemaire, Simon Malinowski, Anthony Bagnall, Thomas Guyet, Romain Tavenard, Georgiana Ifrim. - 1st ed. 2021. - X, 195 p. 68 illus., 57 illus. in color.online resource. - Lecture Notes in Artificial Intelligence ;13114. - Lecture Notes in Artificial Intelligence ;9285.

Oral Presentation -- Ranking by Aggregating Referees: Evaluating the Informativeness of Explanation Methods for Time Series Classification -- State Space approximation of Gaussian Processes for time-series forecasting -- Fast Channel Selection for Scalable Multivariate Time Series Classification -- Temporal phenotyping for characterisation of hospital care pathways of COVID patients -- A New Multivariate Time Series Co-clustering Non-Parametric Model Applied to Driving-Assistance Systems Validation -- TRAMESINO: Trainable Memory System for Intelligent Optimization of Road Traffic Control -- Detection of critical events in renewable energy production time series -- Poster Presentation -- Multimodal Meta-Learning for Time Series Regression -- Cluster-based Forecasting for Intermittent and Non-intermittent Time Series -- State discovery and prediction from multivariate sensor data -- RevDet: Robust and Memory Efficient Event Detection and Tracking in Large News Feeds -- From Univariate to Multivariate Time Series Anomaly Detection with Non-Local Information.

This book constitutes the refereed proceedings of the 6th ECML PKDD Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2021, held during September 13-17, 2021. The workshop was planned to take place in Bilbao, Spain, but was held virtually due to the COVID-19 pandemic. The 12 full papers presented in this book were carefully reviewed and selected from 21 submissions. They focus on the following topics: Temporal Data Clustering; Classification of Univariate and Multivariate Time Series; Multivariate Time Series Co-clustering; Efficient Event Detection; Modeling Temporal Dependencies; Advanced Forecasting and Prediction Models; Cluster-based Forecasting; Explanation Methods for Time Series Classification; Multimodal Meta-Learning for Time Series Regression; and Multivariate Time Series Anomaly Detection. .

ISBN: 9783030914455

Standard No.: 10.1007/978-3-030-91445-5doiSubjects--Topical Terms:

559380
Artificial intelligence.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

Advanced Analytics and Learning on Temporal Data = 6th ECML PKDD Workshop, AALTD 2021, Bilbao, Spain, September 13, 2021, Revised Selected Papers /
LDR:03469nam a22004095i 4500 001 1057537
003 DE-He213
005 20211129224946.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030914455 $9 978-3-030-91445-5
024 7 $a 10.1007/978-3-030-91445-5 $2 doi
035 $a 978-3-030-91445-5
050 4 $a Q334-342
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Advanced Analytics and Learning on Temporal Data $h [electronic resource] : $b 6th ECML PKDD Workshop, AALTD 2021, Bilbao, Spain, September 13, 2021, Revised Selected Papers / $c edited by Vincent Lemaire, Simon Malinowski, Anthony Bagnall, Thomas Guyet, Romain Tavenard, Georgiana Ifrim.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a X, 195 p. 68 illus., 57 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Lecture Notes in Artificial Intelligence ; $v 13114
505 0 $a Oral Presentation -- Ranking by Aggregating Referees: Evaluating the Informativeness of Explanation Methods for Time Series Classification -- State Space approximation of Gaussian Processes for time-series forecasting -- Fast Channel Selection for Scalable Multivariate Time Series Classification -- Temporal phenotyping for characterisation of hospital care pathways of COVID patients -- A New Multivariate Time Series Co-clustering Non-Parametric Model Applied to Driving-Assistance Systems Validation -- TRAMESINO: Trainable Memory System for Intelligent Optimization of Road Traffic Control -- Detection of critical events in renewable energy production time series -- Poster Presentation -- Multimodal Meta-Learning for Time Series Regression -- Cluster-based Forecasting for Intermittent and Non-intermittent Time Series -- State discovery and prediction from multivariate sensor data -- RevDet: Robust and Memory Efficient Event Detection and Tracking in Large News Feeds -- From Univariate to Multivariate Time Series Anomaly Detection with Non-Local Information.
520 $a This book constitutes the refereed proceedings of the 6th ECML PKDD Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2021, held during September 13-17, 2021. The workshop was planned to take place in Bilbao, Spain, but was held virtually due to the COVID-19 pandemic. The 12 full papers presented in this book were carefully reviewed and selected from 21 submissions. They focus on the following topics: Temporal Data Clustering; Classification of Univariate and Multivariate Time Series; Multivariate Time Series Co-clustering; Efficient Event Detection; Modeling Temporal Dependencies; Advanced Forecasting and Prediction Models; Cluster-based Forecasting; Explanation Methods for Time Series Classification; Multimodal Meta-Learning for Time Series Regression; and Multivariate Time Series Anomaly Detection. .
650 0 $a Artificial intelligence. $3 559380
650 0 $a Data mining. $3 528622
650 0 $a Computer communication systems. $3 1115394
650 0 $a Application software. $3 528147
650 0 $a Education—Data processing. $3 1253610
650 1 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Data Mining and Knowledge Discovery. $3 677765
650 2 4 $a Computer Communication Networks. $3 669310
650 2 4 $a Computer Appl. in Social and Behavioral Sciences. $3 669920
650 2 4 $a Computers and Education. $3 669806
700 1 $a Lemaire, Vincent. $e editor. $1 https://orcid.org/0000-0002-6030-2356 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1314574
700 1 $a Malinowski, Simon. $e editor. $1 https://orcid.org/0000-0002-9663-562X $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1314575
700 1 $a Bagnall, Anthony. $e editor. $1 https://orcid.org/0000-0003-2360-8994 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1314576
700 1 $a Guyet, Thomas. $e editor. $1 https://orcid.org/0000-0002-4909-5843 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1314578
700 1 $a Tavenard, Romain. $e editor. $1 https://orcid.org/0000-0002-1439-8465 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1314579
700 1 $a Ifrim, Georgiana. $e editor. $1 https://orcid.org/0000-0002-8400-2972 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1302442
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030914448
776 0 8 $i Printed edition: $z 9783030914462
830 0 $a Lecture Notes in Artificial Intelligence ; $v 9285 $3 1253845
856 4 0 $u https://doi.org/10.1007/978-3-030-91445-5
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
912 $a ZDB-2-LNC
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)