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This framework is designed to be a domain\u2010independent prediction system for the analysis and prediction of curves and time\u2010series trends, based on the CBR technology.CuBaGe<\/jats:italic>employs a novel curve representation method based on splines and a corresponding similarity function based on definite integrals. This combination of curve representation and similarity measure showed excellent results with sparse and non\u2010equidistant time series, which is demonstrated through a set of experiments. Copyright \u00a9 2008 John Wiley & Sons, Ltd.<\/jats:p>","DOI":"10.1002\/spe.891","type":"journal-article","created":{"date-parts":[[2008,7,17]],"date-time":"2008-07-17T17:13:14Z","timestamp":1216314794000},"page":"81-103","source":"Crossref","is-referenced-by-count":7,"title":["Case\u2010based curve behaviour prediction"],"prefix":"10.1002","volume":"39","author":[{"given":"Vladimir","family":"Kurbalija","sequence":"first","affiliation":[]},{"given":"Mirjana","family":"Ivanovi\u0107","sequence":"additional","affiliation":[]},{"given":"Zoran","family":"Budimac","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2008,7,17]]},"reference":[{"key":"e_1_2_1_2_2","unstructured":"BudimacZ KurbalijaV.Case\u2010based reasoning\u2014A short overview. 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