A Novel Method of Big Data Retrieval System using Machine Learning

Fecha de publicación: 11/02/2021
Fuente: Wipo "BigData"
The Big Data is the major component of any Information Processing System for retrieval of Information from the Big Data by its analysis. The Big Data is the term represents majorly the Size or the Volume of the Data to be analyzed. The Big Data may be in the form of Document, Image, Video, and Graph. These different forms of Bid Data have different dimensions and Volume in the different digital repositories, should be recalled and analyzed by the query to retrieve information by a machine. The Computer Vision, Signal and Speech Processing, Natural Language Processing, and Internet of Things (IoT) are the some of the applications of the Machine Learning which facilitates the analysis of the Big Data for More information retrieval than the other techniques. The present invention disclosed here is a Novel Method of Big Data Retrieval System using Machine Learning comprising of Big Data Input (201), Preprocessing and Segmentation (202), Feature Extraction (203), Knowledge Base (204), Query Applied (205), Classification (206), and Information Retrieved (207) can facilitates the information retrieval from the Big Data. The invention disclosed here is used to retrieve the information from the Big Data applied in the form of Document, Image, Video, and Graph. The Segmentation based feature extraction used in the invention provides the Accuracy of 99.8%.
A NOVEL METHOD OF BIG DATA RETRIEVAL SYSTEM USING
MACHINE LEARNING
DRAWINGS

Figure 1: General Information Retrieval System from the Big Data.

Figure 2: A Novel Method of Big Data Retrieval System using Machine Learning.