Next-generation big data analytics: state of the art, challenges, and future research topics Articles uri icon

authors

  • LV, ZHIHAN
  • SONG, HOUBING
  • BASANTA VAL, PABLO
  • STEED, ANTHONY
  • JO, MINHO

publication date

  • February 2017

start page

  • 1891

end page

  • 1899

issue

  • 4

volume

  • 13

International Standard Serial Number (ISSN)

  • 1551-3203

Electronic International Standard Serial Number (EISSN)

  • 1941-0050

abstract

  • The term big data occurs more frequently now than ever before. A large number of fields and subjects, ranging from everyday life to traditional research fields (i.e., geography and transportation, biology and chemistry, medicine and rehabilitation), involve big data problems. The popularizing of various types of network has diversified types, issues, and solutions for big data more than ever before. In this paper, we review recent research in data types, storage models, privacy, data security, analysis methods, and applications related to network big data. Finally, we summarize the challenges and development of big data to predict current and future trends.

keywords

  • big data; massive data; network; data analysis; data privacy; security of data