LEADER 03212nam 22005775 450 001 9910983355003321 005 20250626164030.0 010 $a9783031770661 010 $a3031770668 024 7 $a10.1007/978-3-031-77066-1 035 $a(CKB)37122156900041 035 $a(MiAaPQ)EBC31868085 035 $a(Au-PeEL)EBL31868085 035 $a(DE-He213)978-3-031-77066-1 035 $a(OCoLC)1490380309 035 $a(EXLCZ)9937122156900041 100 $a20250101d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvanced Analytics and Learning on Temporal Data $e9th ECML PKDD Workshop, AALTD 2024, Vilnius, Lithuania, September 9?13, 2024, Revised Selected Papers /$fedited by Vincent Lemaire, Georgiana Ifrim, Anthony Bagnall, Thomas Guyet, Simon Malinowski, Patrick Schäfer, Romain Tavenard 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (156 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v15433 311 08$a9783031770654 311 08$a303177065X 327 $aConformal 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. 330 $aThis book constitutes the refereed proceedings of the 9th ECML PKDD workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2024, held in Vilnius, Lithuania, during September 9-13, 2024. The 8 full papers presented here were carefully reviewed and selected from 15 submissions. The papers focus on recent advances in Temporal Data Analysis, Metric Learning, Representation Learning, Unsupervised Feature Extraction, Clustering, and Classification. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v15433 606 $aArtificial intelligence 606 $aArtificial Intelligence 615 0$aArtificial intelligence. 615 14$aArtificial Intelligence. 676 $a006.3 700 $aLemaire$b Vincent$01460554 701 $aIfrim$b Georgiana$01460549 701 $aBagnall$b Anthony$01460551 701 $aGuyet$b Thomas$01380137 701 $aMalinowski$b Simon$01460553 701 $aScha?fer$b Patrick$00 701 $aTavenard$b Romain$01460550 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910983355003321 996 $aAdvanced Analytics and Learning on Temporal Data$94311425 997 $aUNINA