Main Reference PaperFiDoop-DP: Data Partitioning in Frequent Itemset Mining on Hadoop Clusters, IEEE Transactions on Parallel and Distributed Systems, 2016 [Java/Hadoop]
  • For process the large amount of data in hadoop, in existing system, the data partitioning strategies suffer high communication and mining overhead induced by redundant transactions transmitted among computing nodes. To solve this problem, this work propose an approach called FiDoop-DP which places highly similar transactions into a data partition to improve locality without creating an excessive number of redundant transactions.

+ Description
  • For process the large amount of data in hadoop, in existing system, the data partitioning strategies suffer high communication and mining overhead induced by redundant transactions transmitted among computing nodes. To solve this problem, this work propose an approach called FiDoop-DP which places highly similar transactions into a data partition to improve locality without creating an excessive number of redundant transactions.

  • To improve the performance of Frequent Itemset Mining on Hadoop clusters.

  • To eliminate the redundant transactions.

  • To mitigate communication overhead.

  • Reducing computing cost.

+ Aim & Objectives

  • To improve the performance of Frequent Itemset Mining on Hadoop clusters.

  • To eliminate the redundant transactions.

  • To mitigate communication overhead.

  • Reducing computing cost.

  • To further reduce the computation cost and communication overhead in big data, in addition to similarity computation with includes importance to frequency of items.

+ Contribution
  • To further reduce the computation cost and communication overhead in big data, in addition to similarity computation with includes importance to frequency of items.

  • Java JDK 1.8, Hadoop 1.2.1

  • Netbeans 8.0.1, J2SE, Hadoop

+ Software Tools & Technologies
  • Java JDK 1.8, Hadoop 1.2.1

  • Netbeans 8.0.1, J2SE, Hadoop

  • B.E/B.Tech/M.E/M.Tech

+ Project Recommended For
  • B.E/B.Tech/M.E/M.Tech

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