Main Reference PaperDistributed Feature Selection for Efficient Economic Big Data Analysis, IEEE Transactions on Big Data, 2018 [Python/Hadoop]
  • This project explores the hidden relations between economy and extract the meaningful knowledge from economic big data. To reduce the noise and improves the data quality in economic big data, this work applies the feature selection model to select the important features and identifies the representative ones of economic big data in horizontally and vertically. Then constructs the collaborative model for driving factor analysis of economic development. Based on the collaborative model, collaborative analysis and correlative analysis are integrated to explore the direct and indirect relationships between response indicators and economy.

Description
  • This project explores the hidden relations between economy and extract the meaningful knowledge from economic big data. To reduce the noise and improves the data quality in economic big data, this work applies the feature selection model to select the important features and identifies the representative ones of economic big data in horizontally and vertically. Then constructs the collaborative model for driving factor analysis of economic development. Based on the collaborative model, collaborative analysis and correlative analysis are integrated to explore the direct and indirect relationships between response indicators and economy.

  • To select and identify the important features of data.

  • To achieve the data scalability

Aim & Objectives
  • To select and identify the important features of data.

  • To achieve the data scalability

  • A technique is contributed to establish an algorithm library in the proposed scheme.

Contribution
  • A technique is contributed to establish an algorithm library in the proposed scheme.

  • 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.

Professional Ethics: We S-Logix would appreciate the students those who willingly contribute with atleast a line of thinking of their own while preparing the project with us. It is advised that the project given by us be considered only as a model project and be applied with confidence to contribute your own ideas through our expert guidance and enrich your knowledge.

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