LEADER 03967nam 22007215 450 001 996465667403316 005 20200706191932.0 010 $a3-319-44412-3 024 7 $a10.1007/978-3-319-44412-3 035 $a(CKB)3710000000837726 035 $a(DE-He213)978-3-319-44412-3 035 $a(MiAaPQ)EBC6285027 035 $a(MiAaPQ)EBC5587646 035 $a(Au-PeEL)EBL5587646 035 $a(OCoLC)956530047 035 $a(PPN)194804127 035 $a(EXLCZ)993710000000837726 100 $a20160803d2016 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvanced Analysis and Learning on Temporal Data$b[electronic resource] $eFirst ECML PKDD Workshop, AALTD 2015, Porto, Portugal, September 11, 2015, Revised Selected Papers /$fedited by Ahlame Douzal-Chouakria, José A. Vilar, Pierre-François Marteau 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (X, 173 p. 64 illus.) 225 1 $aLecture Notes in Artificial Intelligence ;$v9785 311 $a3-319-44411-5 320 $aIncludes bibliographical references and index. 330 $aThis book constitutes the refereed proceedings of the First ECML PKDD Workshop, AALTD 2015, held in Porto, Portugal, in September 2016. The 11 full papers presented were carefully reviewed and selected from 22 submissions. The first part focuses on learning new representations and embeddings for time series classification, clustering or for dimensionality reduction. The second part presents approaches on classification and clustering with challenging applications on medicine or earth observation data. These works show different ways to consider temporal dependency in clustering or classification processes. The last part of the book is dedicated to metric learning and time series comparison, it addresses the problem of speeding-up the dynamic time warping or dealing with multi-modal and multi-scale metric learning for time series classification and clustering. . 410 0$aLecture Notes in Artificial Intelligence ;$v9785 606 $aArtificial intelligence 606 $aDatabase management 606 $aApplication software 606 $aInformation storage and retrieval 606 $aAlgorithms 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 606 $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021 615 0$aArtificial intelligence. 615 0$aDatabase management. 615 0$aApplication software. 615 0$aInformation storage and retrieval. 615 0$aAlgorithms. 615 14$aArtificial Intelligence. 615 24$aDatabase Management. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aInformation Storage and Retrieval. 615 24$aAlgorithm Analysis and Problem Complexity. 676 $a006.31 702 $aDouzal-Chouakria$b Ahlame$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aVilar$b José A$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMarteau$b Pierre-François$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465667403316 996 $aAdvanced Analysis and Learning on Temporal Data$92832029 997 $aUNISA