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A survey of predictive analytics using big data with data mining

A survey of predictive analytics using big data with data mining
S. Poornima; M. Pushpalatha
International Journal of Bioinformatics Research and Applications, Vol. 14, No. 3 (2018) pp. 269 - 282
Today, the world is filled with data like Oxygen. The amount of data being harvested and eaten up is flourishing vigorously in the digital world. The growing exploitation of novel inventions and social media leads to the generation of huge quantities of data called Big data which can bring remarkable information if analysed properly. Organizations may undergo for analysis of big data to having better decisions, thus big data analytics is being paid attention in recent times. For finding the concealed values from big data, society requires new schemes or strategies. Predictive analytics comprises of several statistical and analytical techniques for developing novel strategies for the future possibilities of prediction. Therefore, Predictive analytics becomes vital when an essential quantity of highly sensitive data has to be handled. Based on the perceived events, future probabilities and measures are predicted. With the aid of available data mining techniques, predictive analytics predicts the events in future and can make recommendations called prescriptive analytics. This review paper gives clear idea to apply data mining techniques and predictive analytics on different medical dataset to predict various diseases with accuracy levels, pros and cons, that concludes about the issues of those algorithms and futuristic approaches on big data.

Authors:   S. Poornima; M. Pushpalatha
Journal:   International Journal of Bioinformatics Research and Applications
Volume:   14
edition:   3
Year:   2018
Pages:   269
DOI:   10.1504/IJBRA.2018.092697
Publication date:   29-Jun-2018
Facts, background information, dossiers
  • Predictive Analytics
  • big data
  • data mining
  • events
  • paper
  • oxygen
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