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In this paper proposed bucket based data deduplication technique is presented. In proposed technique bigdata stream is given to the fixed size chunking algorithm to create fixed size chunks. When the chunks are obtained then these chunks are given to the MD5 algorithm module to generate hash values for the chunks. After that MapReduce model is applied to find whether hash values are duplicate or not...
Identification of objects of interest is most sought problem in computer vision related applications. This is in particular needed, when large volumes of data are available and a decision is to be made regarding relevance of an object to a specific region. In medical related applications, analysis of structural variations is much required for disease identification and progression. Manually delineating...
NLP search takes a long amount of time due to large size of corpus, besides there are too many hits at the server. At present, the strategy to deal with search engines is to have many thousands of servers in order to provide real-time searches. Fast alternatives are therefore sought. In this paper, we present a pioneering work in this direction by taking word stemming, a crucial aspect of search and...
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