{"product_id":"recent-advances-in-timeseries-classificationmethodology-and-applications-9783031775260","title":"Recent Advances in Time-Series Classification—Methodology and Applications","description":"\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Hardback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 327 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 27 April 2025\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer International Publishing AG\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eWhile 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.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 235 x 155 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9783031775260\u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 2025 ed.\u003c\/p\u003e","brand":"Zoltan Geller,Vladimir Kurbalija,Milos Radovanovic,Mirjana Ivanovic","offers":[{"title":"Hardback","offer_id":47717466177786,"sku":"9783031775260","price":116.61,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/files\/1757715869303_book.jpg?v=1757748105","url":"https:\/\/shulphink.com\/products\/recent-advances-in-timeseries-classificationmethodology-and-applications-9783031775260","provider":"Shulph Ink","version":"1.0","type":"link"}