학술논문
Towards Information Discovery On Large Scale Data: state-of-the-art
Document Type
Conference
Author
Source
2018 International Conference on Soft-computing and Network Security (ICSNS) Soft-computing and Network Security (ICSNS), 2018 International Conference on. :1-9 Feb, 2018
Subject
Language
Abstract
In current age of time Knowledge Discovery in big data is on high demand and challenging process in new era of data intensive digital world. As we all know that data is being created by web, social media, and health care, Agriculture, financial, marketing, automotive industries, geo-information and other source at very large scale. Also this data proliferation is continuously increased exponentially day by day. Our aim is to find the better way to discover useful information from big data & Knowledge Discovery in Database (KDD) Processes by survey, study about the various proposed KDD framework by different researcher and its analysis with existing system. This paper represents the survey of various KDD methods applied, starts from beginning to Big Data, to extract useful information. This paper could be as root of research in the field of knowledgeable information discovery from large scale data.