Data science, big data and granular mining

  • Pal S
  • Meher S
  • Skowron A
  • 1


    Mendeley users who have this article in their library.
  • N/A


    Citations of this article.


Big data has a role in its promising usefulness in many fields, such as commerce and business, biology, medicine, public administration, material science, and cognition in human brain. The objective of big data is to develop complex procedure running over large-scale enormous-sized data repositories for extracting useful knowledge hidden there in and delivering accurate predictions of various kinds within a reasonable time period. Mining of big data can be made effective with the methodologies that can deal with their characteristics, such as heterogeneity, dynamism or time varying, redundancy, uncertainty and impreciseness.

Author-supplied keywords

  • Accurate prediction
  • Big data
  • Complex procedure
  • Data mining
  • Data repositories
  • Human brain
  • Material science
  • Public administration
  • Time varying
  • Time-periods

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document


  • S K Pal

  • S K Meher

  • A Skowron

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free