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Machine Learning and Data Mining in Pattern RecognitionPetra Perner, Atsushi Imiya

Machine Learning and Data Mining in Pattern Recognition

2003565 pages
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12 editions
Nonfiction

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This book constitutes the refereed proceedings of the 9th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2013, held in New York, USA in July 2013. The 51 revised full papers presented were carefully reviewed and selected from 212 submissions. The papers cover the topics ranging from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and web mining.

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Editions

12 editions
  • Paperback · German · 2018
    Springer · 470 pages · 9783319961354
  • Paperback · German · 2005
    Springer · 695 pages · 9783540269236
  • Other · German · 2015
    Springer London, Limited · 454 pages · 9783319210247
  • Other · German · 2014
    Springer · 9783319089799
  • Other · German · 2013
    Springer Berlin / Heidelberg · 9783642397110
  • Other · German · 2013
    Springer · 660 pages · 9783642397127
Computer visionComputer scienceDatabase managementOptical pattern recognitionArtificial intelligencePattern perceptionMachine learningData mining