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
This paper addresses the matter of question aware information improvement with in the context of a user query. Specifically we have a tendency to develop a novel query driven approach QDA that consistently exploits the linguistics of the predicates in SQL like choice queries to scale back the data improvement overhead. The target of QDA is to issue the minimum variety of improvement steps that area unit necessary to answer a given SQL like choice properly. The excellent empirical analysis of QDA demonstrates outstanding results that QDA is significantly higher compared to ancient ER techniques particularly once the question is incredibly selective.
"QDA: A QUERY DRIVEN APPROACH TO ENTITY RESOLUTION", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 3, page no.98 - 103, March-2018, Available :http://www.ijsdr.org/papers/IJSDR1803021.pdf
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Publication Details:
Published Paper ID: IJSDR1803021
Registration ID:180079
Published In: Volume 3 Issue 3, March-2018
DOI (Digital Object Identifier):
Page No: 98 - 103
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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