Manuscript Number : CSEIT1831272
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.
Dr. R. Malathi Ravindran Cloud Computing; Data Set; Information Retrieval; Pathway. Publication Details Published in : Volume 2 | Issue 6 | November-December 2017 Article Preview
Associate Professor, Computer Applications, NGM College, Pollachi, Coimbatore, Tamil Nadu, , India
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