Computational Intelligence and Data Mining - 7th international workshop

As a part of a bundle of workshops on theory and application of information technology – ITAT 2019, which will take place in Donovaly, in the splendid Low Tatras National Park, the 7th international workshop Computational Intelligence and Data Mining – WCIDM 2019 will be organized. The workshop is held on September 22–24, the whole ITAT on September 20–24.

We welcome contributions concerning all topics related to these two overlapping areas, in particular the following:

  • Learning, including metalearning and active learning
  • Artificial neural networks, including deep networks
  • Metaheuristics, including evolutionary algorithms and evolutionary optimization
  • Fuzzy systems, including fuzzy reasoning
  • Data mining based on machine learning and/or statistical methods
  • Statistical models, including distribution models, regression models and classifiers
  • Rules extraction from data
  • Analysis of time series or sequences
  • Applications of computational intelligence and data mining methods

Prospective authors are requested to prepare a 2-column paper of 5-8 pages length in English, according to the LaTeX class “itatnew” and to submit it using the EasyChair system. Each submitted paper will be reviewed by 3 members of the international program committee. All accepted papers will be published in ITAT proceedings. The accepted papers will be published in ITAT proceedings, which will be made publicly available through the frequently accessed CEUR Workshop Proceedings publication service (

Invited talk

  • Johannes Lengler, ETH Zürich
Important dates
Abstract submissionMay 27
Paper submissionJune 10
Notification of acceptance/rejectionJuly 6
Final versionJuly 20
WCIDM 2019 openingSeptember 22

The registration fee for the ITAT conference covers not only participation, but also 4 nights lodging and 4 days full catering at the conference hotel: 395 € regular, 295 € for students.

Program committee:

  • Dirk Arnold, Dalhousie University
  • Petr Berka, University of Economics, Prague
  • Carola Doerr, Sorbonne University, Paris
  • Hans Engler, University of Georgetown
  • Jan Faigl, Czech Technical University, Prague
  • Pitoyo Hartono, University of Chukyo
  • Martin Holeňa, Czech Academy of Sciences, Prague
  • Tamás Horváth, Eötvös Loránd University, Budapest
  • Ján Hric, Charles University, Prague
  • Jan Kalina, Czech Academy of Sciences, Prague
  • Jiří Kléma, Czech Technical University, Prague
  • Piet Kommers, Unesco Learning Technologies, Twente
  • Georg Krempl, University of Utrecht
  • Tomas Krilavičius, Vytautas Magnus University, Kaunas
  • Věra Kůrková, Czech Academy of Sciences, Prague
  • Philippe Lenca, IMT Atlantique, Brest
  • Antoni Ligęza, AGH University of Science and Technology, Krakow
  • Marco Lübbecke, RWTH Aachen
  • Mirko Navara, Czech Technical University, Prague
  • Engelbert Mephu Nguifo, Blaise Pascal University, Clermont-Ferrand
  • Ostap Okhrin, Technical University of Dresden
  • Tomáš Pevný, Czech Technical University, Prague
  • Petr Pošík, Czech Technical University, Prague
  • Jan Rauch, University of Economics, Prague
  • Heike Trautmann, University of Münster
  • Thomas Weise, Hefei University
  • Tingting Zhang, Mid-Sweden University, Sundsvall
  • Filip Železný, Czech Technical University, Prague