Survey Paper On Keyword Search In Multi-Dimensional Datasets |
Author(s): |
| Pratik Ambore , SKN Sinhgad Institute of Technology & Science, Lonavala; Rakesh Raut, SKN Sinhgad Institute of Technology & Science, Lonavala; Sagar Chavan, SKN Sinhgad Institute of Technology & Science, Lonavala; Gaurav Dhanlobhe, SKN Sinhgad Institute of Technology & Science, Lonavala; Prof. Bhagyashree Patle, SKN Sinhgad Institute of Technology & Science, Lonavala |
Keywords: |
| Querying, Multi-Dimensional Data, Indexing, Hashing |
Abstract |
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We propose Consider objects that square measure tagged with keywords and square measure embedded terribly very vector space. The presence of keywords in feature space permits for the event of latest tools to question and explore these dimensional datasets. We have a tendency to tend to propose a way, and come through high quality and quickening. In dimensional areas, it's powerful for users to provide vital coordinates, and our work deals with another type of queries where users can exclusively provide keywords as input. Photos square measure painted exploitation color feature vectors, and usually has descriptive text data (e.g., tags or keywords) associated with them. Our system relies on real datasets shows that we are going to show the economical wanting of keywords in dimensional datasets. |
Other Details |
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Paper ID: IJSRDV5I100262 Published in: Volume : 5, Issue : 10 Publication Date: 01/01/2018 Page(s): 361-363 |
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