國立高雄大學圖資館 |

Language: English

Back

Advanced analytics and learning on temporal data9th ECML PKDD workshop, AALTD 2024, Vilnius, Lithuania, September 9-13, 2024 : revised selected papers /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advanced analytics and learning on temporal dataedited by Vincent Lemaire ... [et al.].
Reminder of title:	9th ECML PKDD workshop, AALTD 2024, Vilnius, Lithuania, September 9-13, 2024 : revised selected papers /
remainder title:	AALTD 2024
other author:	Lemaire, Vincent.
corporate name:
Published:	Cham :Springer Nature Switzerland :2025.
Description:	ix, 147 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Machine learningCongresses.
Online resource:	https://doi.org/10.1007/978-3-031-77066-1
ISBN:	9783031770661$q(electronic bk.)

Advanced analytics and learning on temporal data9th ECML PKDD workshop, AALTD 2024, Vilnius, Lithuania, September 9-13, 2024 : revised selected papers /
Advanced analytics and learning on temporal data9th ECML PKDD workshop, AALTD 2024, Vilnius, Lithuania, September 9-13, 2024 : revised selected papers /[electronic resource] :AALTD 2024edited by Vincent Lemaire ... [et al.]. - Cham :Springer Nature Switzerland :2025. - ix, 147 p. :ill., digital ;24 cm. - Lecture notes in computer science,154330302-9743 ;. - Lecture notes in computer science ;4891..

Conformal Prediction Techniques for Electricity Price Forecasting -- Multivariate Human Activity Segmentation Systematic Benchmark with ClaSP -- Comparing the Performance of Recurrent Neural Network and Some Well Known Statistical Methods in the Case of Missing Multivariate Time Series Data -- Accurate and Efficient Real World Fall Detection Using Time Series Techniques -- Highly Scalable Time Series Classification for Very Large Datasets -- Classification of Raw MEG/EEG Data with Detach-Rocket Ensemble An Improved ROCKET Algorithm for Multivariate Time Series Analysis -- Change Detection in Multivariate data streams Online Analysis with Kernel QuantTree -- Weighted Average of Human Motion Sequences for Improving Rehabilitation Assessment.

This book constitutes the refereed proceedings of the 9th ECML PKDD workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2024, held in Vilnius, Lithuania, during September 9-13, 2024. The 8 full papers presented here were carefully reviewed and selected from 15 submissions. The papers focus on recent advances in Temporal Data Analysis, Metric Learning, Representation Learning, Unsupervised Feature Extraction, Clustering, and Classification.

ISBN: 9783031770661$q(electronic bk.)

Standard No.: 10.1007/978-3-031-77066-1doiSubjects--Topical Terms:

384498
Machine learning
--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Advanced analytics and learning on temporal data9th ECML PKDD workshop, AALTD 2024, Vilnius, Lithuania, September 9-13, 2024 : revised selected papers /
LDR:02444nmm a2200361 a 4500 001 678876
003 DE-He213
005 20250101115230.0
006 m o d
007 cr nn 008maaau
008 251031s2025 sz s 0 eng d
020 $a 9783031770661$q(electronic bk.)
020 $a 9783031770654$q(paper)
024 7 $a 10.1007/978-3-031-77066-1 $2 doi
035 $a 978-3-031-77066-1
040 $a GP $c GP
041 0 $a eng
050 4 $a Q325.5
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.31 $2 23
090 $a Q325.5 $b .A112 2024
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Advanced analytics and learning on temporal data $h [electronic resource] : $b 9th ECML PKDD workshop, AALTD 2024, Vilnius, Lithuania, September 9-13, 2024 : revised selected papers / $c edited by Vincent Lemaire ... [et al.].
246 3 $a AALTD 2024
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a ix, 147 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 15433
490 1 $a Lecture notes in artificial intelligence
505 0 $a Conformal Prediction Techniques for Electricity Price Forecasting -- Multivariate Human Activity Segmentation Systematic Benchmark with ClaSP -- Comparing the Performance of Recurrent Neural Network and Some Well Known Statistical Methods in the Case of Missing Multivariate Time Series Data -- Accurate and Efficient Real World Fall Detection Using Time Series Techniques -- Highly Scalable Time Series Classification for Very Large Datasets -- Classification of Raw MEG/EEG Data with Detach-Rocket Ensemble An Improved ROCKET Algorithm for Multivariate Time Series Analysis -- Change Detection in Multivariate data streams Online Analysis with Kernel QuantTree -- Weighted Average of Human Motion Sequences for Improving Rehabilitation Assessment.
520 $a This book constitutes the refereed proceedings of the 9th ECML PKDD workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2024, held in Vilnius, Lithuania, during September 9-13, 2024. The 8 full papers presented here were carefully reviewed and selected from 15 submissions. The papers focus on recent advances in Temporal Data Analysis, Metric Learning, Representation Learning, Unsupervised Feature Extraction, Clustering, and Classification.
650 0 $a Machine learning $v Congresses. $3 384498
650 1 4 $a Artificial Intelligence. $3 212515
700 1 $a Lemaire, Vincent. $3 860732
710 2 $a SpringerLink (Online service) $3 273601
711 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 4891. $3 383229
830 0 $a Lecture notes in artificial intelligence. $3 822012
856 4 0 $u https://doi.org/10.1007/978-3-031-77066-1
950 $a Computer Science (SpringerNature-11645)