Abstract
The proposal is focused on initial steps of data mining process, specifically on the data integrations and transformation stages. In the proposed paper, we have described integration process of production and weather data for analysis and knowledge discovery process that is based on the CRISP-DM methodology. The data integration process was designed and performed using RapidMiner software platform. From the integrated data we have presented use case that is suitable for further detailed data analysis and utilisation in knowledge discovery process.
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Acknowledgments
This publication is the result of implementation of the project VEGA 1/0673/15: “Knowledge discovery for hierarchical control of technological and production processes” supported by the VEGA.
This publication is the result of implementation of the project: “UNIVERSITY SCIENTIFIC PARK: CAMPUS MTF STU - CAMBO“(ITMS: 26220220179) supported by the Research & Development Operational Program funded by the EFRR.
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Kebisek, M., Spendla, L., Tanuska, P. (2017). Analysis of Temperature Impact on Production Process with Focus on Data Integration and Transformation. In: Silhavy, R., Silhavy, P., Prokopova, Z., Senkerik, R., Kominkova Oplatkova, Z. (eds) Software Engineering Trends and Techniques in Intelligent Systems. CSOC 2017. Advances in Intelligent Systems and Computing, vol 575. Springer, Cham. https://doi.org/10.1007/978-3-319-57141-6_34
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DOI: https://doi.org/10.1007/978-3-319-57141-6_34
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