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International Journal of Advanced Research in Computer and Communication Engineering
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
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A Survey on Efficiency in Big Data Mining

Haritha Padmanabhan, Derroll David

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Abstract: Data mining is the extraction of useful knowledge from a large amount of data from different heterogeneous sources. Nowadays data is growing rapidly, and mining from these massive sets of data become the most complex task. The bigdata mining is the ability to extract information from large complex data due to its volume, velocity, verity, veracity and value. Uncovering of the huge amount of heterogeneous bigdata will maximize the knowledge in the target domain. So bigdata mining become one of the exciting opportunities today. The traditional data mining tools are not capable of handling large distributed data. Effective big data mining requires scalable and efficient solutions that are also useful to all kind of users. So the combination of efficient and user-friendly data mining tools will provide a more effective and scalable bigdata data mining platform for users with all levels of expertise. Keywords: Big Data, Data Mining, Frameworks, Distributed Systems.

How to Cite:

[1] Haritha Padmanabhan, Derroll David, β€œA Survey on Efficiency in Big Data Mining,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)

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