Imprecise data assessment for information retrieval using fuzzy associative memory mechanisms

ISSN: 22498958
0Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.

Abstract

Query processing is the primary task in information retrieval.Either user information is a keyword or a sentence based the answer display to the user is only what the resultant obtained from query execution. If the correct information to be executed was given the processing time minimized to the maximum extent by avoiding unnecessary formalisms, tuning, identifying the nearest relevance, etc. instead directly the query can be allowed to process. In this paper, an approach was proposed to assess the incoming user data imprecise extent and its reutilization level for future use instead of avoiding as wrong or irrelevant.Fuzzy associative memory mechanism was deployed to assist and associate user compatibility while retrieving information.

Cite

CITATION STYLE

APA

Mohan Kumar, P. (2019). Imprecise data assessment for information retrieval using fuzzy associative memory mechanisms. International Journal of Engineering and Advanced Technology, 8(5), 483–487.

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free