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
Tagged keyword search in multi-dimensional datasets
Authors Name:
P. Mohan Babu
, B. Vishnu Vardhan
Unique Id:
IJSDR1710001
Published In:
Volume 2 Issue 10, October-2017
Abstract:
Keyword-based search in text-rich multi-dimensional datasets facilitates many novel applications and tools. In this paper, consider objects that are tagged with keywords and are embedded in a vector space. For these datasets, Study queries that ask for the tightest groups of points satisfying a given set of keywords. propose a novel method called ProMiSH (Projection and Multi Scale Hashing) that uses random projection and hash-based index structures, and achieves high scalability and speedup. In this present an exact and an approximate version of the algorithm. Our experimental results on real and synthetic datasets show that ProMiSH has up to 60 times of speedup over state-of-the-art tree-based techniques.
Keywords:
Projection and Multi Scale Hashing(ProMiSH),Nearest Keyword Search(NKS), Locality Sensitive Hashing (LSH).
Cite Article:
"Tagged keyword search in multi-dimensional datasets", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 10, page no.1 - 4, October-2017, Available :http://www.ijsdr.org/papers/IJSDR1710001.pdf
Downloads:
000336256
Publication Details:
Published Paper ID: IJSDR1710001
Registration ID:170781
Published In: Volume 2 Issue 10, October-2017
DOI (Digital Object Identifier):
Page No: 1 - 4
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
Facebook Twitter Instagram LinkedIn