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Fidoop-Parallel-Mining

Implementation of two algorithms related to data-mining and association mining.

Requirements

These are the list of softwares / tools required to build the project:

  1. JDK 1.7
  2. MySQL 5.0
  3. SQLyog 5.19 Free Trail can be downloaded here. As an alternative MySQL WorkBench can also be downloaded and used.
  4. Eclipse-Indigo 3.7
  5. ApacheTomcat 6.0
  6. HADOOP Softwares-x86-0.18.0

This code has been run with Java 7; other versions may work, but have not been tested. The code factoring is also done for 32-bit Operating Systems but it as been found that the execution remains smooth for 64 bit systems also.

Citation

If you use this code for your publication and any future implementation, please cite the original paper:

  {
  clark2018semi,
  title = {FiDoop: Parallel Mining of Frequent Itemsets Using MapReduce},
  author = {Yaling Xun, Jifu Zhang and Xiao Qin},
  journal={IEEE Transactions on Systems, Man, and Cybernetics: Systems },
  year = {2016}
  }

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Implementation of two algorithms related to data-mining and association mining.

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