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A Novel Approach for Information Retrieval Using CCBIR System

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  • R. Malathi Ravindran

Abstract

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.

Suggested Citation

  • R. Malathi Ravindran, 2017. "A Novel Approach for Information Retrieval Using CCBIR System," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(6), pages 1356-1364, November.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i6:id:hcseit1831272
    Note: Article URL: https://ijsrcseit.com/CSEIT1831272
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