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Analysis of the Quality of the Painting Process Using Preprocessing Techniques of Text Mining

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Book cover Artificial Intelligence and Algorithms in Intelligent Systems (CSOC2018 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 764))

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Abstract

Text mining is a relatively new area of computer science, and its use has grown immensely lately. The aim is to join two dataset from different data sources and to acquire information about percentage defects from the painting process, which are transmitted from the manufacturing to the end customers. The data sets are totally different and for their joining using text attributes, preprocessing are needed.

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References

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Acknowledgment

This publication is the result of implementation of the project: “Increase of Power Safety of the Slovak Republic” (ITMS: 26220220077) supported by the Research & Development Operational Programme funded by the ERDF and project VEGA 1/0673/15: “Knowledge discovery for hierarchical control of technological and production processes” supported by the VEGA.

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Authors and Affiliations

  1. Faculty of Materials Science and Technology in Trnava, Slovak University of Technology, Bratislava, Slovakia

    Veronika Simoncicova, Pavol Tanuska & Hans-Christian Heidecke

  2. PredictiveDataScience, s. r. o., Klzava 31, Bratislava, Slovakia

    Stefan Rydzi

Authors
  1. Veronika Simoncicova
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  2. Pavol Tanuska
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  3. Hans-Christian Heidecke
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  4. Stefan Rydzi
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Corresponding author

Correspondence to Veronika Simoncicova .

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Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Radek Silhavy

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Simoncicova, V., Tanuska, P., Heidecke, HC., Rydzi, S. (2019). Analysis of the Quality of the Painting Process Using Preprocessing Techniques of Text Mining. In: Silhavy, R. (eds) Artificial Intelligence and Algorithms in Intelligent Systems. CSOC2018 2018. Advances in Intelligent Systems and Computing, vol 764. Springer, Cham. https://doi.org/10.1007/978-3-319-91189-2_4

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