alexa Abstract | FP Tree Algorithm and Approaches in Big Data
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article Open Access

Abstract

ABSTRACT: Data mining is process of extracting a large amount of data that need to be analysed patterns have to be extracted from that to share knowledge. In this new era with rumble of data together structured, semi-structured and unstructured, in the field of machine learning, educational data mining, web mining and text mining, environmental research areas, it has become difficult to process, manage and analyzed patterns using traditional databases and relational databases So, a appropriate architecture should be understood to gain and share knowledge about the Big Data. This paper presents an analysis of various algorithms from for handling such big data set. These algorithms define various structures and methods implemented to handle Big Data, also in the paper are listed various data mining tools that were developed for analyzing them.

To read the full article Peer-reviewed Article PDF image | Peer-reviewed Full Article image

Author(s): T.Rathika, J.Senthil Murugan

Share This Page

Additional Info

Loading
Loading Please wait..
 
 
Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords