Courses @ UNIRAZAK

Multidimensional Data Analysis and Data Visualization

Credit

3

Level of Study

Bachelor Degree

Synopsis

To disclose and present a variety of methods for multidimensional data visualization. The emphasis is put on the new research results and trends in this field, including optimization, artificial neural networks, combinations of algorithms, parallel computing, different proximity measures, and nonlinear manifold learning. A large number of applications, presented in this book, allow us to discover the new advantages of visual data mining.

Learning Outcomes

  • Describe basic understanding for mutidimensional data strategies and the concept of visualisation.
  • Apply suitable knowledge and theories using optimization based visualisation and multidimensional scaling to solve business related issues.
  • Demonstrate digital skills by using application of visualisation.
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