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  Published Paper Details:

  Paper Title

A NOVEL APPROACH FOR NKS SCHEME IN HIGH DIMENSIONAL DATA

  Authors

  Eswaraiah Puttu,  Shaik Shameer

  Keywords

Querying, High dimensional Data, Indexing, Hashing, Dataset.

  Abstract


Consider objects that are tagged with keywords and are embedded in a vector space. The presence of keywords in feature space allows for the development of new tools to query and explore these multi-dimensional datasets. We propose a method called Projection and Multi Scale Hashing that uses random projection and hash-based index structures, and achieves high scalability and speedup. In multi-dimensional spaces, it is difficult for users to provide meaningful coordinates, and our work deals with another type of queries where users can only provide keywords as input. Images are represented using color feature vectors, and usually have descriptive text information (e.g., tags or keywords) associated with them. Our system is based on real datasets shows that we can show the efficient searching of keywords in multidimensional datasets.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT1704073

  Paper ID - 170324

  Page Number(s) - 543-550

  Pubished in - Volume 5 | Issue 4 | October 2017

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Eswaraiah Puttu,  Shaik Shameer,   "A NOVEL APPROACH FOR NKS SCHEME IN HIGH DIMENSIONAL DATA", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.5, Issue 4, pp.543-550, October 2017, Available at :http://www.ijcrt.org/papers/IJCRT1704073.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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