An Effective Filtering on Big Data by Finding Relevant Features to Extract Useful Information
@inproceedings{Karthick2016AnEF, title={An Effective Filtering on Big Data by Finding Relevant Features to Extract Useful Information}, author={Karthick}, year={2016} }
Big data handling is the most important challenges faced by many of the researchers in the world due to its varying structure and high volume of contents. The most useful and relevant information plays the most important role in the real world application environment scenario, which decides the successful completion of the task execution. In the previous work, content based partitioning and network based partitioning are done for supporting the efficient handling of big data. These approaches… CONTINUE READING
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