A Study of Data Mining with Big Data

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2016 by IJCTT Journal
Volume-38 Number-2
Year of Publication : 2016
Authors : Dr. V.Harsha Shastri, V.Sreeprada
  10.14445/22312803/IJCTT-V38P118

MLA

Dr. V.Harsha Shastri, V.Sreeprada "A Study of Data Mining with Big Data". International Journal of Computer Trends and Technology (IJCTT) V38(2):99-103, August 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Data has become an important part of every economy, industry, organization, business, function and individual. Big Data is a term used to identify large data sets typically whose size is larger than the typical data base. Big data introduces unique computational and statistical challenges. Big Data are at present expanding in most of the domains of engineering and science. Data mining helps to extract useful data from the huge data sets due to its volume, variability and velocity. This article presents a HACE theorem that characterizes the features of the Big Data revolution, and proposes a Big Data processing model, from the data mining perspective.

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Keywords
Big Data, Data Mining, HACE theorem, structured and unstructured.