A Study on Data Mining with Big Data

B.Zakia Bano; Dr.K.Pavan Kumar

A Study on Data Mining with Big Data

Authors: B.Zakia Bano , Dr.K.Pavan Kumar

Unique Paper ID: 142821
Volume: 2
Issue: 6
PageNo: 187-192

Keywords: Big Data Data Mining

Abstract:
Big data is the term for a collection of data sets which are large and complex, it contain structured and unstructured both type of data. Data comes from everywhere, sensors used to gather climate information, posts to social media sites, digital pictures and videos etc This data is known as big data. Useful data can be extracted from this big data with the help of data mining.

email to a friend

Cite This Article

ISSN: 2349-6002
Volume: 2
Issue: 6
PageNo: 187-192

A Study on Data Mining with Big Data

Available:https://ijirt.org/Article?manuscript=142821

28 Apr, 2018

Analysis and Design Implementation of 3-Phase inverter

28 Apr, 2018

Design and Implementation of Soft Starter Using 3-PhaseInduction Motor

07 Jan, 2018

Efficient Pipelined CORDIC Architecture for Generation of Sine and Cosine Function

02 Jan, 2018

Real Time Monitoring System for Coal MineSafety and Control Automation

02 Jan, 2018

Control System of Robotic Car Based on Internet of Things

06 Dec, 2017

ROBUST PARTIAL FEEDBACK LINEARIZING STABILIZATION

06 Dec, 2017

Privacy-Aware Public Auditing System for Shared Cloud Data with Dynamic Groups

06 Dec, 2017

Individual Pitch Control for Mitigation of Power fluctuation

25 Nov, 2017

Innovative Real-TimeVehicle Monitoring and Tracking System based on Raspberry pi

25 Nov, 2017

A New Approach for Intelligent Traffic Control System using Raspberry pi

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Latest Publication

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry