A Systematic Algorithm for Data Cluster Using Map-Reduce Approach

Authors(5) :-Kechika. S, Sapthika. B, Keerthana. B, Abinaya. S, Abdulfaiz. A

We have been studying the problem clustering data objects as we have implemented a new algorithm called algorithm of clustering data using map reduce approach. In cluster, main part is feature selection which involves in recognition of set of features of a subset, since feature selection is considered as a important process. They also produces the approximate and according requests with the original set of features used in this type of approach. The main concept beyond this paper is to give the outcome of the clustering features. This paper which also gives the knowledge about cluster and it's own process. To processing of large datasets the nature of clustering where some more concepts are more helpful and important in a clustering process. In a clustering methodology where more concepts are very useful. The feature selection algorithm which affects, the entire process of clustering is the map-reduce concept. since, feature selection or extraction which is also used in map-reduce approach. The most desirable component is time complexity where efficiency concerns in this criterion. Here time required to find the effective features, where features of quality subsets is equal to effectiveness. The complexity to find based on this criteria based map-reduce features selection approach, which is proposed and evaluated in this paper.

Authors and Affiliations

Kechika. S
Scholar, Department of CSA, Sri Krishna Arts and Science College, Coimbatore, Tamil Nadu, India
Sapthika. B
Scholar, Department of CSA, Sri Krishna Arts and Science College, Coimbatore, Tamil Nadu, India
Keerthana. B
Scholar, Department of CSA, Sri Krishna Arts and Science College, Coimbatore, Tamil Nadu, India
Abinaya. S
Scholar, Department of CSA, Sri Krishna Arts and Science College, Coimbatore, Tamil Nadu, India
Abdulfaiz. A
Professor, Department of CSA, Sri Krishna Arts and Science College, Coimbatore, Tamil Nadu, India

Features Selection, Features Clustering, Map-Reduce, Map-Reduce Approach

  1. Indranil Palit and ChandranK.Reddy, Member, IEEE, scalable and parallel Boosting with MapReduce, IEEE TRANSACTION ON KNOWLEDGE AND DATA ENGINEERING, VOL. 24,NO.10, OCTOBER 2012.
  2. Makho Ngazimbi, DATA CLUSTERING USING MAPREDUCE, March 2009.
  3. K.E.Hemapriya,K.Gomathy,”A survey paper of cluster based key management techniques for secured data transmission in Manet”. International Journal of Advanced Research in Computer and communication Engineering. (IJARCCE) vol 5, issue 10,October 2016.
  4. TARUN DHAR DIWAN, PRADEEP CHOUKSEY, R. S. THAKUR & BHARAT LODHI, Exploiting Data Mining Techniques For Improving the Efficiency of Time Series Data, BIRT, Bhopal M. P. India.
  5. Alina Ene, Sungjin Im, Benjamin Moseley, Fast Clustering using MapReduce.
  6. Elena Tsiporkova, Veselka Boeva, Elena Kostadinova, MapReduce andfca Approach for Clustering of Multiple-Experiment Data.

Publication Details

Published in : Volume 5 | Issue 2 | March-April 2019
Date of Publication : 2019-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 564-569
Manuscript Number : CSEIT195270
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Kechika. S, Sapthika. B, Keerthana. B, Abinaya. S, Abdulfaiz. A , "A Systematic Algorithm for Data Cluster Using Map-Reduce Approach", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 2, pp.564-569, March-April-2019. Available at doi : https://doi.org/10.32628/CSEIT195270
Journal URL : http://ijsrcseit.com/CSEIT195270

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