A Novel Approach for Information Retrieval Using CCBIR System

Authors(1) :-Dr. R. Malathi Ravindran

The tremendous growth of data generated by various resources like digital images, videos and scientific instruments & simulations is very high. The usage of social networks and internet are increasing day-by-day. The effective information retrieval from this huge volume of data is very much obligatory. The existing information retrieval like Boolean, Meta and Probabilistic are not sufficient to manipulate this huge volume of data. In this scenario, the entry of Cloud Technology is very much needed. In this paper a new cloud based information retrieval system is proposed with the inclusion of Vector Space Model and Semi-Supervised Clustering. KEGG Metabolic Relation Network and Dow Jones Industrial Index data set are experienced with the CCBIR system using math work. This system eliminates bottlenecks in information flow, time delay and also it provides a remarkable ability to overcome the traffic congestions.

Authors and Affiliations

Dr. R. Malathi Ravindran
Associate Professor, Computer Applications, NGM College, Pollachi, Coimbatore, Tamil Nadu, , India

Cloud Computing; Data Set; Information Retrieval; Pathway.

  1. Amir H.Basirat and Asad I.Khan (2010), "Evolution of Information Retrieval in Cloud Computing by Redesigning Data Management Architecture from a Scalable Associative Computing Perspective", Springer Link, Neural Information Processing. Models and Applications Lecture Notes in Computer Science Vol. Part II, pp 275-282.
  2. Hari Priyanka R. and Malathi Ravindran R. (2016), “A Cloud Computing with Search Engines”, International Journal for Scientific Research & Development, Vol.4, Issue 08, 2016, ISSN : 2321-0613.
  3. Malathi Ravindran R. and Antony Selvadoss Thanamani (2015), “K-Means Docoment Cluestering using Vector Space Model”, Bonfring International Journal of Data Mining, Vol. 5, No.2.
  4. Riktesh Srivastava (2012), "Implementation of Information Retrieval (IR) Algorithm for Cloud Computing: A Comparative Study between with and without MapReduce Mechanism", Journal of Contemporary Issues in Business Research, Vol.1, No.2, pp.42-56.
  5. Thomas Erl, Zaigham Mahmood, and Ricardo Puttini (2013), "Cloud Computing Conepts, Technology & Architecture", Prentice Hall, ISBN-10: 0-13-338752-6.

Publication Details

Published in : Volume 2 | Issue 6 | November-December 2017
Date of Publication : 2017-11-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 1356-1364
Manuscript Number : CSEIT1831272
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Dr. R. Malathi Ravindran, "A Novel Approach for Information Retrieval Using CCBIR System ", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 6, pp.1356-1364, November-December-2017. |          | BibTeX | RIS | CSV

Article Preview