LEADER 03625nam 22006495 450 001 9910999783303321 005 20251023220517.0 010 $a9783031775277$b(eBook) 024 7 $a10.1007/978-3-031-77527-7 035 $a(CKB)38641693600041 035 $a(DE-He213)978-3-031-77527-7 035 $a(MiAaPQ)EBC32029796 035 $a(Au-PeEL)EBL32029796 035 $a(OCoLC)1524422090 035 $a(EXLCZ)9938641693600041 100 $a20250426h20252025 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRecent advances in time-series classification -- methodology and applications /$fZolta?n Gelle?r, Vladimir Kurbalija, Milos? Radovanovic?, Mirjana Ivanovic? 210 1$aCham :$cSpringer,$d2025. 215 $a1 online resource (xiv, 327 pages) $cillustrations 225 1 $aIntelligent systems reference library,$x1868-4408 ;$vvolume 264 311 08$a9783031775260 320 $aIncludes bibliographical references. 327 $aIntroduction -- Time Series and Similarity Measures -- Time Series Classification -- The impact of global constraints on the accuracy of elastic similarity measures. 330 $aThis book examines the impact of such constraints on elastic time-series similarity measures and provides guidance on selecting suitable measures. Time-series classification frequently relies on selecting an appropriate similarity or distance measure to compare time series effectively, often using dynamic programming techniques for more robust results. However, these techniques can be computationally demanding, which results in the usage of global constraints to reduce the search area in the dynamic programming matrix. While these constraints cut computation time significantly (by up to three orders of magnitude), they may also affect classification accuracy. Additionally, the importance of the nearest neighbor classifier (1NN) is emphasized for its strong performance in time-series classification, alongside the kNN classifier which offers stable results. This book further explores the weighted kNN classifier, which gives closer neighbors more influence, showing how it merges accuracy and stability for improved classification outcomes. . 410 0$aIntelligent systems reference library ;$vv. 264.$x1868-4408 606 $aTime-series analysis$xData processing 606 $aAutomatic control 606 $aComputational intelligence 606 $aEngineering$xData processing 606 $aControl and Systems Theory 606 $aComputational Intelligence 606 $aData Engineering 615 0$aTime-series analysis$xData processing. 615 0$aAutomatic control. 615 0$aComputational intelligence. 615 0$aEngineering$xData processing. 615 14$aControl and Systems Theory. 615 24$aComputational Intelligence. 615 24$aData Engineering. 676 $a629.8312 676 $a003 700 $aGellér$b Zoltán$4aut$4http://id.loc.gov/vocabulary/relators/aut$01817316 702 $aKurbalija$b Vladimir$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aRadovanovic?$b Milos?$c(Computer scientist)$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aIvanovic$b Mirjana$f1960-$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910999783303321 996 $aRecent advances in time-series classification -- methodology and applications$94448835 997 $aUNINA