Changes between Version 29 and Version 30 of Parallel-DT


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Timestamp:
Jan 18, 2010, 8:49:33 PM (14 years ago)
Author:
andrei.minca
Comment:

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  • Parallel-DT

    v29 v30  
    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.
    88 * Project Presentation: [https://ncit-cluster.grid.pub.ro/trac/PP2009/attachment/wiki/Parallel-DT/Parallel-DT.ppt]
    9  * Project Implementation Details: [wiki:Details]
     9 * Project Implementation Details: '''[wiki:Details]'''
    1010
    1111''' Serial DT process '''