• Ron WehrensEmail author
Part of the Use R book series (USE R)


Textbook examples typically use clean, perfect data, allowing the techniques of interest to be explained and illustrated. However, in real life data are messy, noisy, incomplete, downright faulty, or a combination of these. The first step in any data analysis often consists of preprocessing to assess and possibly improve data quality. This step may actually take more time than the analysis itself, and more often than not the process consists of an iterative procedure where data preprocessing steps are alternated with data analysis steps.


Dynamic Time Warping Left Plot Warping Function Peak Picking Query Signal 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  1. 1.Research and Innovation CentreFondazione Edmund MachSan Michele all’AdigeItaly

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