Discovery of Ill–Known Motifs in Time Series Data. 1st ed. 2022, Paperback

This book includes a novel motif discovery for time series, KITE (ill-Known motIf discovery in Time sEries data), to identify ill-known motifs transformed by affine mappings such as translation, uniform scaling, reflection, stretch, and squeeze mappings.

• Publisher: Springer Fachmedien Wiesbaden
• Author(s): Sahar Deppe
• Illustration(s): 30 Illustrations, color; 18 Illustrations, black and white; XIV, 205 p. 48 illus., 30 illus. in color.
• Number of pages: 205
• Collection: Technologien fur die intelligente Automation
• Publication date: 2021
• Dimensions: 244 x 170 x 16
• Cover type: Paperback / softback