Changes between Version 25 and Version 26 of Parallel-DT


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Timestamp:
Jan 18, 2010, 8:22:54 PM (14 years ago)
Author:
alexandru.sorici
Comment:

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  • Parallel-DT

    v25 v26  
    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 
     9 * Prject Implementation Details: [wiki:Details]
    1010
    1111''' Serial DT process '''