Changes between Version 28 and Version 29 of Parallel-DT


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Timestamp:
Jan 18, 2010, 8:32:48 PM (14 years ago)
Author:
andrei.minca
Comment:

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  • Parallel-DT

    v28 v29  
    66 * Team members: Eremia Bogdan, Andrei Minca, Alexandru Sorici
    77 * 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.
    8  * Project Presentation: [Parallel-DT.ppt]
     8 * Project Presentation: [https://ncit-cluster.grid.pub.ro/trac/PP2009/attachment/wiki/Parallel-DT/Parallel-DT.ppt]
    99 * Project Implementation Details: [wiki:Details]
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