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Concept drift in Streaming Data Classification: Algorithms, Platforms and Issues

  • Published:2017 Issue: Volume:122 Page:804-811
  • ISSN:1877-0509
  • Container-title:Procedia Computer Science
  • language:en
  • Short-container-title:Procedia Computer Science

Author:

Janardan ,Mehta Shikha

Publisher

Elsevier BV

Subject

General Engineering

Reference49 articles.

1. http://techblog.comsoc.org/2016/03/09/idc-directions-2016-iot-internet-of-things-outlook-vs-current-market-assessment[accessed july-2017].

2. https://www.domo.com/blog/how-much-data-is-created-every-minute /[accessed july-2017].

3. https://www.forbes.com/sites/bernardmarr/2015/09/30/big-data-20-mind-boggling-facts-everyone-must-read/#4e98387f17b1 [Accessed april-2017].

4. DataStreams: Modelsand Algorithms;Aggarwal,2007

5. Mining data streams: a review;Gaber;ACM Sigmod Rec,2005

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