• Corpus ID: 212453123

A Study of Current State of Work and Challenges in Mining Big Data

@inproceedings{Pal2014ASO,
  title={A Study of Current State of Work and Challenges in Mining Big Data},
  author={Kaushika Pal},
  year={2014}
}
A Study of Current State of Work and Challenges in Mining Big Data Kaushika Pal Assistant Professor, Sarvajanik College of Engineering and Technology, Surat Email: kaushikapal@scet.ac.in Dr. Jatinderkumar R. Saini Associate Professor and Director I/C, Narmada College of Computer Application, Bharuch Email: saini_expert@yahoo.com -----------------------------------------------------------------ABSTRACT-----------------------------------------------------------------Big data is term for any… 
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References

SHOWING 1-7 OF 7 REFERENCES
From Big Data to Big Data Mining: Challenges, Issues, and Opportunities
TLDR
This paper provides an overview of big data mining and discusses the related challenges and the new opportunities, including a review of state-of-the-art frameworks and platforms for processing and managing big data as well as the efforts expected onbig data mining.
Mining big data: current status, and forecast to the future
TLDR
This issue introduces four articles, written by influential scientists in the field, covering the most interesting and state-of-the-art topics on Big Data mining, and presents a broad overview of the topic, its current status, controversy, and a forecast to the future.
Mining Big Data in Real Time
TLDR
The current and future trends of mining evolving data streams, and the challenges that the field will have to overcome during the next years are discussed.
Mining heterogeneous information networks: a structural analysis approach
TLDR
A set of methodologies that can effectively and efficiently mine useful knowledge from such information networks are summarized, and some promising research directions are pointed out.
Data Mining with Big Data, IEEE TRANSACTIONS International Journal of Advanced Networking Applications (IJANA) ISSN No
  • ON KNOWLEDGE AND DATA ENGINEERING,
  • 2014
Understanding Big Data & DV 2 law
  • International Journal of Emerging Technology and Advanced Engineering
  • 2014
Understanding Big Data & DV2
  • law, International Journal of Emerging Technology and Advanced Engineering,
  • 2014