Open AccessA Computational Modeling for Knowledge Binding of the Unstructured Web Data
Author(s) -
Nagamma Patil,
Ayesha Kiran,
M. Tech
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b1041.1292s19
Subject(s) - computer science , focus (optics) , set (abstract data type) , unstructured data , baseline (sea) , fuzzy logic , data mining , matching (statistics) , computational model , data science , algorithm , artificial intelligence , programming language , big data , mathematics , oceanography , physics , statistics , optics , geology
The focus of this manuscript is laid towards extracting insightful data embedded into web-based information which is crucial for various academic and commercialized application requirements. The study thereby introduces a robust computational modeling by means of computing knowledge from collaborative web-based unstructured information. For this purpose, this design is simplified with Fuzzy based matching algorithm and also with a set of procedures which reduces the computational effort to a significant extent. The numerical theoretical analysis shows that the effectiveness of the formulated model. It also shows that the formulated concept outperforms the baseline modeling by almost 50% when computational performance is concerned.