Main Reference PaperA novel MapReduce algorithm for distributed mining of sequential patterns using co-occurrence information, Applied Intelligence, 2018 [Java/Hadoop]
  • An efficient Map Reduce based distributed algorithm, namely Distributed mining of Sequential Patterns using Co-occurrence information is proposed to handle large sequences. It reduces the communication and scheduling overhead between mappers and reducers.

+ Description
  • An efficient Map Reduce based distributed algorithm, namely Distributed mining of Sequential Patterns using Co-occurrence information is proposed to handle large sequences. It reduces the communication and scheduling overhead between mappers and reducers.

  • To reduce the search space of frequent patterns.

  • Reduces the communication and scheduling overhead.

+ Aim & Objectives
  • To reduce the search space of frequent patterns.

  • Reduces the communication and scheduling overhead.

  • In frequent pattern analysis, the time intervals are investigated between successive items.

+ Contribution
  • In frequent pattern analysis, the time intervals are investigated between successive items.

  • OS: Ubuntu 12.04 LTS 64bit

  • Simulator: NS2.35

  • Language: Java/Hadoop

+ Software Tools & Technologies
  • OS: Ubuntu 12.04 LTS 64bit

  • Simulator: NS2.35

  • Language: Java/Hadoop

  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

+ Project Recommended For
  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

+ Order To Delivery
  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

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