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ISSN: 2321-9939 | ESTD Year: 2013

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Paper Title
Fast Query Retrevial Using Group Nearest Neighbour
Authors
  V.S.Madhumathi,  T.Sounder rajan

Abstract
The Location-aware keyword query returns ranked objects that are near a query location and that have textual descriptions that match query keywords.IR2-tree is used for finding nearest neighbor. Compression scheme and object aggregation method based on spatial inverted index. Spatial Inverted Index has collections of spatial represent points are conferred with the collections of key word .Compression scheme reducing the space cost. Object aggregation is done by grouping the aggregative objects to retrieve the placement and textual dependent data. Priority level search is used to search the objects based on the priority given for the keywords depends on the user.This method has few drawbacks. To overcome this technique, Using Group nearest neighbor search algorithm group the object .In GNN algorithm it has two techniques such as Location based service and Euclidean Distance .Location based service used to retrieve the location using algorithm. Euclidean Distance are using the formula find the distance. When using these algorithms, its fully efficient and more accurate .The optimized groups of objects are retrieved.

Keywords- GNN, Spatial database, nearest neighbor search, spatial index, keyword search
Publication Details
Unique Identification Number - IJEDR1502036
Page Number(s) - 198-200
Pubished in - Volume 3 | Issue 2 | May 2015
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  V.S.Madhumathi,  T.Sounder rajan,   "Fast Query Retrevial Using Group Nearest Neighbour", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 2, pp.198-200, May 2015, Available at :http://www.ijedr.org/papers/IJEDR1502036.pdf
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