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The Scientific World Journal
Volume 2015, Article ID 453597, 9 pages
http://dx.doi.org/10.1155/2015/453597
Research Article

Distilling Big Data: Refining Quality Information in the Era of Yottabytes

1Anna University, Regional Office, Madurai 625007, India
2Department of Computer Science and Engineering, Anna University, Regional Office, Madurai 625007, India
3Department of Computer Science and Engineering, Annamalai University, Chidambaram 608002, India

Received 15 June 2015; Revised 1 August 2015; Accepted 9 August 2015

Academic Editor: Venkatesh Jaganathan

Copyright © 2015 Sivaraman Ramachandramurthy et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • Hai Wang, Zeshui Xu, Hamido Fujita, and Shousheng Liu, “Towards Felicitous Decision Making: An Overview on Challenges and Trends of Big Data,” Information Sciences, 2016. View at Publisher · View at Google Scholar
  • Zeshui Xu, Hai Wang, and Witold Pedrycz, “An overview on the roles of fuzzy set techniques in big data processing: Trends, challenges and opportunities,” Knowledge-Based Systems, vol. 118, pp. 15–30, 2016. View at Publisher · View at Google Scholar
  • Palash Dutta, “An uncertainty measure and fusion rule for conflict evidences of big data via Dempster–Shafer theory,” International Journal of Image and Data Fusion, pp. 1–18, 2017. View at Publisher · View at Google Scholar
  • Andrew P Reimer, and Elizabeth A Madigan, “Veracity in big data: How good is good enough,” Health Informatics Journal, pp. 146045821774436, 2018. View at Publisher · View at Google Scholar