• DocumentCode
    3667998
  • Title

    Challenges with big data mining: A review

  • Author

    Libina Rose Sebastian;Sheeba Babu;Jubilant J Kizhakkethottam

  • Author_Institution
    Dept. of Computer Science and Engineering, St. Joseph´s College of Engineering and Technology, Palai, Kerala, India
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Big data is a collection of datasets which are so large and complex. Data sets are growing day by day and sharing, transfer, capture, storage, etc. are the main challenges in Big Data. Data mining discovers patterns from a large data set. Data mining with Big data is a complex task. HACE theorem is proposed which finds Complex and Evolving relationships among data. It finds the characteristics of Big data. Big Data-related applications, such as Google, Flicker, Facebook, etc. have a large number of server farms. Cloud computing provides large server services and share resources. By using a number of servers, users can use on-demand services without interruption. Twitter enables users to send and read texts called “Tweets”. By analyzing tweets the stock market can be predicted. It is possible to spread information to the peoples who are connected with each other. The large volume and relationship of nodes can be used to predict the trends and future.
  • Keywords
    "Big data","Data mining","Servers","Twitter","Security","Facebook"
  • Publisher
    ieee
  • Conference_Titel
    Soft-Computing and Networks Security (ICSNS), 2015 International Conference on
  • Print_ISBN
    978-1-4799-1752-5
  • Type

    conf

  • DOI
    10.1109/ICSNS.2015.7292371
  • Filename
    7292371