CLASSIFICATION DATA EXPLORATION METHODS IN MODERN REALTIME DATA WAREHOUSE

Authors

  • Jakub Chłapiński
  • Piotr Mazur
  • Jan Murlewski
  • Marek Kamiński
  • Bartosz Sakowicz

DOI:

https://doi.org/10.47839/ijc.7.1.483

Keywords:

Data Mining, Data warehouse, Classification method, Neural networks, Decision tree

Abstract

The goal of this article is to introduce problems that may arise during analysis of classification methods used in data mining applications. In the following sections some of the most common classification techniques are described along with several proposed extensions which allow these methods to be used in incremental data warehouses. The primary focus was aimed at the problem of performing incremental learning methods that may be used in near realtime data warehousing applications.

References

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Published

2014-08-01

How to Cite

Chłapiński, J., Mazur, P., Murlewski, J., Kamiński, M., & Sakowicz, B. (2014). CLASSIFICATION DATA EXPLORATION METHODS IN MODERN REALTIME DATA WAREHOUSE. International Journal of Computing, 7(1), 6-12. https://doi.org/10.47839/ijc.7.1.483

Issue

2008, Volume 7, Issue 1

Section

Articles

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