Rok 2019

• Advances in Architectures, Big Data, and Machine Learning Techniques for Complex Internet of Things Systems

  Publikacja

  • D. Gil
  • M. Johnsson
  • H. Mora
  • J. Szymański

  - COMPLEXITY - Rok 2019

  Te feld of Big Data is rapidly developing with a lot of ongoing research, which will likely continue to expand in the future. A crucial part of this is Knowledge Discovery from Data (KDD), also known as the Knowledge Discovery Process (KDP). Tis process is a very complex procedure, and for that reason it is essential to divide it into several steps (Figure 1). Some authors use fve steps to describe this procedure, whereas others...

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• Review of the Complexity of Managing Big Data of the Internet of Things

  Publikacja

  • D. Gil
  • M. Johnsson
  • H. Mora
  • J. Szymański

  - COMPLEXITY - Rok 2019

  Tere is a growing awareness that the complexity of managing Big Data is one of the main challenges in the developing feld of the Internet of Tings (IoT). Complexity arises from several aspects of the Big Data life cycle, such as gathering data, storing them onto cloud servers, cleaning and integrating the data, a process involving the last advances in ontologies, such as Extensible Markup Language (XML) and Resource Description...

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Rok 2018

• An Approach to Data Reduction for Learning from Big Datasets: Integrating Stacking, Rotation, and Agent Population Learning Techniques

  Publikacja

  • I. Czarnowski
  • P. Jędrzejowicz

  - COMPLEXITY - Rok 2018

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• Overcoming “Big Data” Barriers in Machine Learning Techniques for the Real-Life Applications

  Publikacja

  • I. Czarnowski
  • P. Jedrzejowicz
  • K. Chao
  • T. Yildirim

  - COMPLEXITY - Rok 2018

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