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      by 
      Niu, Gang. author.
      Format: 
      Excerpt: 
      help explain the algorithms, as well as practical examples showing how to use this tool to solve
      by 
      Witten, I. H. (Ian H.), author.
      Format: 
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      representation -- Algorithms : the basic methods -- Credibility : evaluating what's been learned
      by 
      Pedrycz, Witold. editor.
      Format: 
      Excerpt: 
      Part I. Fundamentals -- Large-Scale Clustering Algorithms -- On High Dimensional Search Space and
      by 
      Beyerer, Jürgen. editor.
      Format: 
      Excerpt: 
      -- Cloud-based event detection platform for water distribution networks using machine-learning algorithms
      by 
      Angelov, Plamen. editor.
      Format: 
      Excerpt: 
      -inspired algorithms); implementations on different computing platforms (e.g. neuromorphic, graphics processing units
      by 
      Badica, Costin. editor.
      Format: 
      Excerpt: 
      .-Reconfiguration of RBAC schemes by genetic algorithms.-String-based Malware Detection for Android Environments
      by 
      Olson, David L., 1944-, author.
      Format: 
      Excerpt: 
      algorithms in data mining -- 7. Neural networks in data mining -- 8. Decision tree algorithms -- 9
      by 
      Plattner, Hasso. author.
      Format: 
      Excerpt: 
      , compression mechanisms, and parallel join algorithms. Beyond that, implications for future enterprise
      by 
      Wu, James, 1965-
      Format: 
      Excerpt: 
      and modeling. It also explains the details of the algorithms behind these techniques, including
      by 
      Galea, Alex.
      Format: 
      Excerpt: 
      -- Training Classification Models -- Introduction to Classification Algorithms -- Exercise 9: Training Two
      by 
      Shakhovska, Natalya. editor.
      Format: 
      Excerpt: 
      Analysis of the Psychophysiological Survey Results -- Two Algorithms Median Filtering to Identify the Time
      by 
      Witten, I. H. (Ian H.)
      Format: 
      Excerpt: 
      methods *Includes downloadable Weka software toolkit, a collection of machine learning algorithms for data