The introduction of deep learning is ready to occur, as it is mostly used in the increasing amount of data and the continuously evolving process of extracting valuable information from available data. Knowledge discovery in data and machine learning still faces multiple objections to the core surroundings of software infrastructure. Only, the majority of problems for secure data and extension for detailed information are done in deep learning. The purpose is to plan a project that connects a random access key in FHE with Intelligent Retrieval. The design, which involves participants, safeguards all information details using FHE and can meet all the demands for preserving secrecy in divided information in deep machine learning.

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User Document Classification Using Privacy-Preserving Data Mining

  • Divyani D. Palankar,
  • G. A. Patil

摘要

The introduction of deep learning is ready to occur, as it is mostly used in the increasing amount of data and the continuously evolving process of extracting valuable information from available data. Knowledge discovery in data and machine learning still faces multiple objections to the core surroundings of software infrastructure. Only, the majority of problems for secure data and extension for detailed information are done in deep learning. The purpose is to plan a project that connects a random access key in FHE with Intelligent Retrieval. The design, which involves participants, safeguards all information details using FHE and can meet all the demands for preserving secrecy in divided information in deep machine learning.