Main Reference PaperAlgorithm Analysis for Big Data in Education Based on Depth Learning, Wireless Personal Communications, 2018 [Java/Hadoop]
  • A depth learning analysis algorithm is based on Map Reduce to deal with college data. A Map Reduce framework to achieve campus data computing and get the valuable information hidden behind college data. To find the frequent itemset, a MapReduce based Apriori algorithm and C4.5 is proposed.

Description
  • A depth learning analysis algorithm is based on Map Reduce to deal with college data. A Map Reduce framework to achieve campus data computing and get the valuable information hidden behind college data. To find the frequent itemset, a MapReduce based Apriori algorithm and C4.5 is proposed.

  • To reduce the computation time.

  • To store and analyze huge amounts of college data.

Aim & Objectives
  • To reduce the computation time.

  • To store and analyze huge amounts of college data.

  • FP-growth is integrated with proposed scheme to find the best frequent pattern and reduce the computation consumption further.

Contribution
  • FP-growth is integrated with proposed scheme to find the best frequent pattern and reduce the computation consumption further.

  • 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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