Version 5 (modified by andrei.minca, 14 years ago) (diff)



  • Team members: Eremia Bogdan, Andrei Minca, Alexandru Sorici
  • Project Description: Classification is an important data mining problem. One of the most popular algorithms used for classification purposes

are decision trees (DT). Since datasets that are used in data mining problems are usually very large, computationally efficient and scalable algorithms are highly desirable. Thus, the project's goal is to parallelize the decision tree inference process. A shared memory programming model using OpenMP is being considered for this task.

Serial DT process

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Parallel aproaches

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Project activity


  • 12 Nov - ...
    - Project status:
    - ToDo:

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