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Result 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

We propose take into account objects that area unit labelled with keywords and area unit embedded really terribly vector house. The presence of keywords in feature house permits for the event of latest tools to question and explore these dimensional datasets. we've a bent to tend to propose the simplest way, and are available through prime quality and quickening. In dimensional areas, it's powerful for users to produce important coordinates, and our work deals with another form of queries wherever users will completely offer keywords as input. Photos area unit painted exploitation color feature vectors, and frequently has descriptive text knowledge (e.g., tags or keywords) related to them. Our system depends on real datasets shows that we tend to square measure aiming to show the economical wanting of keywords in dimensional datasets.

Other Details

Paper ID: IJSRDV6I40104
Published in: Volume : 6, Issue : 4
Publication Date: 01/07/2018
Page(s): 331-334

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