Main Reference PaperTowards matching user mobility traces in large-scale datasets, IEEE Transactions on Big Data, 2018 [Python/Hadoop]
  • This project handles a large-scale analysis of user matchability in real mobility datasets. The possibility of matching users between large-scale anonymized datasets based on their trajectories. The proposed work uses a matchability of the datasets and to evaluate the expected success rate of the matching methodology to estimate the required data collection period for successful matching of users given their activity.

Description
  • This project handles a large-scale analysis of user matchability in real mobility datasets. The possibility of matching users between large-scale anonymized datasets based on their trajectories. The proposed work uses a matchability of the datasets and to evaluate the expected success rate of the matching methodology to estimate the required data collection period for successful matching of users given their activity.

  • To match the user traces for large scale dataset.

  • To improve the scalability.

Aim & Objectives
  • To match the user traces for large scale dataset.

  • To improve the scalability.

  • The proposed work extends the matching procedure by instead of selecting the candidate with the highest number of matches, a more sophisticated approach is taken into account calculate for each matching pair of points.

Contribution
  • The proposed work extends the matching procedure by instead of selecting the candidate with the highest number of matches, a more sophisticated approach is taken into account calculate for each matching pair of points.

  • 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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