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Fusion Methods for Time-Series Classification
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Fusion Methods for Time-Series Classification

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Book Details

Format Hardback or Cased Book
ISBN-10 3631630859
ISBN-13 9783631630853
Edition New
Publisher Peter Lang AG
Imprint Peter Lang AG
Country of Manufacture DE
Country of Publication GB
Publication Date Nov 25th, 2011
Print length 144 Pages
Weight 318 grams
Dimensions 21.90 x 21.60 x 0.20 cms
Ksh 6,400.00
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Fusion Methods for Time-Series Classification
Time-series classification is the common theoretical background of many recognition tasks performed by computers, such as handwriting recognition, speech recognition or detection of abnormalities in electrocardiograph signals. In this book, the state-of-the-art in time-series classification is surveyed and five new techniques are presented. Four out of them aim at making the recognition more accurate, while the proposed instance-selection algorithm speeds up time-series classification. Besides time-series classification tasks, potential applications of the proposed techniques include problems from various domains, e.g. web science or medicine.

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