• DocumentCode
    3729183
  • Title

    Big data analytics techniques: A survey

  • Author

    Poonam Vashisht;Vishal Gupta

  • Author_Institution
    Department of CSE, UIET, Panjab University, Chandigarh (India)
  • fYear
    2015
  • Firstpage
    264
  • Lastpage
    269
  • Abstract
    As the recent research fields has been talking much about the concept of big data, how it can help us to dig into the data from past to find something which can help us to make our decision making capability more precise and profitable for the organization. The attempts are made to evolve a platform based on traditional technologies to handle the notion of big data. Big data is of worth if it can be analyzed to reach at a conclusion. As big data comprises of structures, semi-structured and unstructured data, we will discuss all the methods which can analyze the text, audio and videos as well. The challenges imposed by the big data which needs to be kept in mind before thinking about the big data analytics.
  • Keywords
    "Big data","Videos","Feature extraction","Data mining","Speech","Cameras","Computer architecture"
  • Publisher
    ieee
  • Conference_Titel
    Green Computing and Internet of Things (ICGCIoT), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICGCIoT.2015.7380470
  • Filename
    7380470