Main Reference PaperUnstructured big data analytics for retrieving e-commerce logistics knowledge, Telematics and Informatics, 2018 [Python]
  • To extract an essential patterns of e-commerce logistics from massive unstructured documents, this work establishes a hybrid content analytics including web crawler, syntactic analysis, data preprocessing, topic mining, and association rules.

Description
  • To extract an essential patterns of e-commerce logistics from massive unstructured documents, this work establishes a hybrid content analytics including web crawler, syntactic analysis, data preprocessing, topic mining, and association rules.

  • To extract the e-commerce patterns from unstructured data.

Aim & Objectives
  • To extract the e-commerce patterns from unstructured data.

  • The proposes work further investigates the different types of unstructured big data, such as videos related to e-commerce logistics, to conduct large-scale unstructured data analytics.

Contribution
  • The proposes work further investigates the different types of unstructured big data, such as videos related to e-commerce logistics, to conduct large-scale unstructured data analytics.

  • 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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