INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
An Efficient Approach for Multi-Dimensional Dataset Search Using Keywords
Authors Name:
Susmitha Dasari
, Loshma Gunisetti
Unique Id:
IJSDR1806022
Published In:
Volume 3 Issue 6, June-2018
Abstract:
Conventional spatial queries, such as range search and nearest neighbour retrieval, involve only conditions on objects’ geometric properties. Today, many modern applications call for novel forms of queries that aim to find objects satisfying both a spatial predicate, and a predicate on their associated texts. Currently, the best solution to such queries is based on the IR2 -tree, which, as shown in this paper, has a few deficiencies that seriously impact its efficiency. Motivated by this, we develop a new access method called the spatial inverted index that extends the conventional inverted index to cope with multidimensional data, and comes with algorithms that can answer nearest neighbour queries with keywords in real time. As verified by experiments, the proposed techniques outperform the IR2 -tree in query response time significantly, often by a factor of orders of magnitude.
"An Efficient Approach for Multi-Dimensional Dataset Search Using Keywords", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 6, page no.95 - 98, June-2018, Available :http://www.ijsdr.org/papers/IJSDR1806022.pdf
Downloads:
000337075
Publication Details:
Published Paper ID: IJSDR1806022
Registration ID:180397
Published In: Volume 3 Issue 6, June-2018
DOI (Digital Object Identifier):
Page No: 95 - 98
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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