Open AccessSoft-Computing: A Fundamental Approach in Analyzing Big Data
Author(s) -
Elspeth M C C O N N A C H I,
Mgbeafuluike .I .J
Publication year - 2018
Publication title -
international journal of engineering and computer science
Language(s) - English
Resource type - Journals
ISSN - 2319-7242
DOI - 10.18535/ijecs/v7i2.01
Subject(s) - computer science , unified modeling language , big data , volume (thermodynamics) , filter (signal processing) , soft computing , data model (gis) , data mining , data science , artificial intelligence , artificial neural network , programming language , physics , software , quantum mechanics , computer vision
This research paper has designed a novel model: soft-computing model in analyzing big data. It focuses on voluminous data while addressing data velocity. The model comprises of mediator, data filter, collector, predictor and acceptor, all model components. The enhancement of data volume is handled using data filters while data velocity is handled using predictor. Unified Modeling Language (UML) portrays the behavioral functionalities of the model. The proffered benefit of the model will be explored on full implemented.