Fusion Methods for Time-Series Classification
©2012
Thesis
XII,
144 Pages
Series:
Informationstechnologie und Ökonomie, Volume 45
Summary
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.
Details
- Pages
- XII, 144
- Publication Year
- 2012
- ISBN (Hardcover)
- 9783631630853
- Language
- English
- Keywords
- Individual Quality Estimation Zeitreihenklassifikation (Informatik Maschinelles Lernen Erkennungsalgorithmen (Informatik)
- Published
- Frankfurt am Main, Berlin, Bern, Bruxelles, New York, Oxford, Wien, 2011. XIV, 144 pp., 1 coloured fig., num. tables and graphs
- Product Safety
- Peter Lang Group AG