Machine Learning and Data Mining in ...
Clark Conference ((2005 :)

 

  • Machine Learning and Data Mining in Pattern Recognition[electronic resource] :11th International Conference, MLDM 2015, Hamburg, Germany, July 20-21, 2015 : proceedings /
  • Record Type: Language materials, printed : Monograph/item
    [NT 15000414]: 006.4
    Title/Author: Machine Learning and Data Mining in Pattern Recognition : 11th International Conference, MLDM 2015, Hamburg, Germany, July 20-21, 2015 : proceedings // edited by Petra Perner.
    remainder title: MLDM 2015
    other author: Perner, Petra.
    corporate name: Clark Conference
    Published: Cham : : Springer International Publishing :, 2015.
    Description: ix, 454 p. : : ill., digital ;; 24 cm.
    Contained By: Springer eBooks
    Subject: Pattern perception
    Subject: Machine learning
    Subject: Data mining
    Subject: Computer vision
    Subject: Computer Science.
    Subject: Data Mining and Knowledge Discovery.
    Subject: Pattern Recognition.
    Subject: Algorithm Analysis and Problem Complexity.
    Subject: Information Systems Applications (incl. Internet)
    Subject: Database Management.
    Subject: Artificial Intelligence (incl. Robotics)
    ISBN: 9783319210247 (electronic bk.)
    ISBN: 9783319210230 (paper)
    [NT 15000228]: Graph Mining -- Classification and regression -- Sentiment analysis -- Data preparation and missing values -- Association and sequential rule mining -- Support vector machines -- Frequent item set mining and time series analysis -- Clustering -- Text mining -- Applications data mining.
    [NT 15000229]: This book constitutes the refereed proceedings of the 11th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2015, held in Hamburg, Germany, in July 2015. The 41 full papers presented were carefully reviewed and selected from 123 submissions. The topics range 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.
    Online resource: http://dx.doi.org/10.1007/978-3-319-21024-7
Reviews
Export
pickup library
 
 
Change password
Login