IDENTIFICATION & DETECTION OF BEST DOCUMENTS CONSIDERING UNLABELLED LISTINGS

In the EXISTING SYSTEM. The unlabeled data will be stored in the spam when the user search for any results. In the PROPOSED MODEL, we are developing an automated system for both labeled and Un-labeled Documents based on the Active learning. We apply stemming algorithm to remove the stop words, so that Keywords Are Extracted. Based on the Scoring Algorithm, the documents are principally categorized by processing the subsets of data in the datasets. As Per the Users request, the corresponding document is transferred to the User. In the MODIFICATION PHASE we also rank the best relevant documents based on Top K query for effective and efficient data retrieval system.

  • Project Category : IEEE Projects
  • Project Year : 2014-2015
  • Department
  • B.E(Computer Science) , B.E(Electrical and Electronics Engg), B.E(Electronics and Communication), B.E(Information Technology),
  • Domain
  • Data Mining,
  • Technology
  • .Net,
  • Avilable city
  • Chennai,

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AADHITYAA INFOMEDIA SOLUTIONS, T.NAGAR

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