alexa Abstract | Hadoop Based Parallel Framework for Feature Subset Selection in Big Data
ISSN ONLINE(2319-8753)PRINT(2347-6710)

International Journal of Innovative Research in Science, Engineering and Technology
Open Access

Like us on:
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


It is the era of Big Data. Since scale of data is increasing every minute, handling massive data becomes important in this era. Massive data poses a great challenge for classification. High dimensionality of modern massive dataset has provided a considerable challenge to clustering approaches. The curse of dimensionality can make clustering very slow, and, second, the existence of many irrelevant features may not allow the identification of the relevant underlying structure in the data. Feature selection is the most important part of the clustering process that involves identifying the set of features of a subset, at which they produce accurate and accordant results with the original set of features. Designing traditional machine learning algorithms and data mining algorithms with Map Reduce Programming is necessary in dealing with massive data sets. Map Reduce is a parallel processing framework for large datasets and Hadoop is its open-source implementation. The objective of this paper is to implement FAST clustering algorithm with Map Reduce programming to remove irrelevant and redundant features. Following preprocessing, cluster based map-reduce feature selection approach is implemented for effective outcome of features

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

Author(s): Revathi.L, A.Appandiraj

Share This Page

Additional Info

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