Applications of Stream Data Mining on The Internet of Things: A Survey

Guler E. R., Ozdemir S.

International Congress on Big Data, Deep Learning and Fighting Cyber Terrorism (IBIGDELFT), Ankara, Turkey, 3 - 04 December 2018, pp.51-55 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Ankara
  • Country: Turkey
  • Page Numbers: pp.51-55
  • Keywords: IoT, Big Data Analytics, Deep Learning, Stream Data Mining, Data Processing Platforms, BIG DATA, ANALYTICS, IOT
  • Hacettepe University Affiliated: No


In the era of the Internet of Things (IoT), enormous amount of sensing devices collect and/or generate various sensory data over time for a wide range of fields and applications. Based on the nature of the application, these devices result in big or fast/real time data streams. The analytics technique on the subject matter used to discover new information, anticipate future predictions and make decisions on important issues makes IoT technology valuable for both the business world and the quality of everyday life. In this study, first of all, the concept of IoT and its architecture and relation with big and streaming data are emphasized. Information discovery process applied to the IoT streaming data is investigated and deep learning frameworks covered by this process are described comparatively.