Year: 2014
Type: conference-paper
Abstract: Data has become an indispensable part of every economy, industry, organization, business function and individual.Big Data is a term used to identify the datasets that whose size is beyond the ability of typical database software tools to store, manage and analyze.The Big Data introduce unique computational and statistical challenges, including scalability and storage bottleneck, noise accumulation, spurious correlation and measurement errors.These challenges are distinguished and require new computational and statistical paradigm.This paper presents the literature review about the Big data Mining and the issues and challenges with emphasis on the distinguished features of Big Data.It also discusses some methods to deal with big data.
Authors: Jaseena K.U, Julie M.David
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: gold
OpenAlex ID: W2319684517