About

If you use CaTabRa in your research, we would appreciate citing the following conference paper:

• A. Maletzky, S. Kaltenleithner, P. Moser and M. Giretzlehner. CaTabRa: Efficient Analysis and Predictive Modeling of Tabular Data. In: I. Maglogiannis, L. Iliadis, J. MacIntyre and M. Dominguez (eds), Artificial Intelligence Applications and Innovations (AIAI 2023). IFIP Advances in Information and Communication Technology, vol 676, pp 57-68, 2023. DOI:10.1007/978-3-031-34107-6_5

  @inproceedings{CaTabRa2023,
    author = {Maletzky, Alexander and Kaltenleithner, Sophie and Moser, Philipp and Giretzlehner, Michael},
    editor = {Maglogiannis, Ilias and Iliadis, Lazaros and MacIntyre, John and Dominguez, Manuel},
    title = {{CaTabRa}: Efficient Analysis and Predictive Modeling of Tabular Data},
    booktitle = {Artificial Intelligence Applications and Innovations},
    year = {2023},
    publisher = {Springer Nature Switzerland},
    address = {Cham},
    pages = {57--68},
    isbn = {978-3-031-34107-6},
    doi = {10.1007/978-3-031-34107-6_5}
  }
  

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Acknowledgments

This project is financed by research subsidies granted by the government of Upper Austria. RISC Software GmbH is Member of UAR (Upper Austrian Research) Innovation Network.