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Using Domain Knowledge in Initial Stages of Knowledge Discovery in Databases

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Rough Sets and Knowledge Technology (RSKT 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8171))

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Abstract

In this tutorial the topic of data preparation for Knowledge Discovery in Databases (KDD) is discussed on rather general level, with just few detailed descriptions of particular data processing steps. The general ideas are illustrated with application examples. Most of examples are taken from real-life KDD projects.

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References

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Author information

Authors and Affiliations

  1. Institute of Mathematics, The University of Warsaw, Banacha 2, 02-097, Warsaw, Poland

    Marcin Szczuka

Authors
  1. Marcin Szczuka
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Editor information

Editors and Affiliations

  1. Saint Mary’s University, B3H 3C3, Halifax, NS, Canada

    Pawan Lingras

  2. Maria Curie-Skłodowska University, Lublin, Poland

    Marcin Wolski

  3. University of Granada, Spain

    Chris Cornelis

  4. Indian Statistical Institute, 700108, Kolkata, India

    Sushmita Mitra

  5. University of Warsaw, 02-097, Warsaw, Poland

    Piotr Wasilewski

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Szczuka, M. (2013). Using Domain Knowledge in Initial Stages of Knowledge Discovery in Databases. In: Lingras, P., Wolski, M., Cornelis, C., Mitra, S., Wasilewski, P. (eds) Rough Sets and Knowledge Technology. RSKT 2013. Lecture Notes in Computer Science(), vol 8171. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41299-8_1

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  • DOI: https://doi.org/10.1007/978-3-642-41299-8_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41298-1

  • Online ISBN: 978-3-642-41299-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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