LEADER 03053nam 2200481 450 001 996517753503316 005 20230731000223.0 010 $a3-031-24378-1 024 7 $a10.1007/978-3-031-24378-3 035 $a(MiAaPQ)EBC7217828 035 $a(Au-PeEL)EBL7217828 035 $a(OCoLC)1373987751 035 $a(DE-He213)978-3-031-24378-3 035 $a(PPN)269092463 035 $a(EXLCZ)9926291140600041 100 $a20230731d2023 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAdvanced Analytics and Learning on Temporal Data $e7th ECML PKDD Workshop, AALTD 2022, Grenoble, France, September 19-23, 2022, Revised Selected Papers /$fThomas Guyet [and five others] (editors) 205 $aFirst edition. 210 1$aCham, Switzerland :$cSpringer,$d[2023] 210 4$dİ2023 215 $a1 online resource (209 pages) 225 1 $aLecture Notes in Computer Science Series ;$vVolume 13812 311 08$aPrint version: Guyet, Thomas Advanced Analytics and Learning on Temporal Data Cham : Springer International Publishing AG,c2023 9783031243776 320 $aIncludes bibliographical references and index. 327 $aOral Presentation -- Adjustable Context-aware Transformer -- Clustering of time series based on forecasting performance of global models -- Experimental study of time series forecasting methods for groundwater level prediction -- Fast Time Series Classification with Random Symbolic Subsequences -- RESIST: Robust Transformer for Unsupervised Time Series Anomaly Detection -- Window Size Selection In Unsupervised Time Series Analytics: A Review and Benchmark -- Poster Presentation -- Application of Attention mechanism combined with Long Short-Term Memory for forecasting Dissolved Oxygen in Ganga River -- Data Augmentation for Time Series Classification with Deep Learning -- Dimension selection strategies for multivariate time series classification with HIVE-COTEv2.0 -- EDGAR: Embedded Detection of Gunshots by AI in Real-time -- Identification of the Best Accelerometer Features and Time-scale to Detect Disturbances in Calves -- ODIN AD: a framework supporting the life-cycle of time series anomaly detection applications. 330 $aThis book constitutes the refereed proceedings of the 7th ECML PKDD Workshop, AALTD 2022, held in Grenoble, France, during September 19?23, 2022. The 12 full papers included in this book were carefully reviewed and selected from 21 submissions. They were organized in topical sections as follows: Oral presentation and poster presentation. 410 0$aLecture notes in computer science ;$vVolume 13812. 606 $aMachine learning$vCongresses 615 0$aMachine learning 676 $a006.31 702 $aGuyet$b Thomas 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996517753503316 996 $aAdvanced Analytics and Learning on Temporal Data$93083342 997 $aUNISA