Apriori Algorithm Implementation Using Map Reduce On Hadoop

The main aim of the Apriori Algorithm Implementation Using Map Reduce On Hadoop project is to use the apriori algorithm  which is a data mining algorithm along with mapreduce. This is mainly used to find the frequent item sets for a application which consists of various transactions.

Using this algorithm we will take the inputs from the data sets present in the application and the output is given as frequent item sets .

In the map reduce  part we will write the code using key value pairs accordingly.

46 Replies to “Apriori Algorithm Implementation Using Map Reduce On Hadoop”

  1. Hi Team,

    Please mail me the zip file of this project, and more project related to this if any.

    Thanks,
    Vinay

  2. Please send me the complete Documents and source code related to the project. It will be helpful. Thanks!

    Regards,
    Naureen

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