Now showing items 1-5 of 5

    • Automatyczne wykrywanie zagrożeń w systemach teleinformatycznych za pomocą metod Data Mining 

      Sapała, Kamil; Piołun-Noyszewski, Marcin; Weiss, Marcin (Wydawnictwo Uniwersytetu Łódzkiego, 2018)
      The paper presents some real‑time analytical solutions that work in a proprietary‑designed system for IT security. It describes automatic methods of data transformations and analysis aiming at detection of potential threats ...
    • Highly D‑efficient Weighing Design and Its Construction 

      Ceranka, Bronisław; Graczyk, Małgorzata (Wydawnictwo Uniwersytetu Łódzkiego, 2017)
      In this paper, some aspects of design optimality on the basis of spring balance weighing designs are considered. The properties of D‑optimal and D‑efficiency designs are studied. The necessary and sufficient conditions ...
    • Nonlinear Principal Component Analysis for Geographically Weighted Temporal‑spatial Data 

      Krzyśko, Mirosław; Łukaszonek, Wojciech; Ratajczak, Waldemar; Wołyński, Waldemar (Wydawnictwo Uniwersytetu Łódzkiego, 2018)
      Schölkopf, Smola and Müller (1998) have proposed a nonlinear principal component analysis (NPCA) for fixed vector data. In this paper, we propose an extension of the aforementioned analysis to temporal‑spatial data and ...
    • Notes on D‑optimal Spring Balance Weighing Designs 

      Ceranka, Bronisław; Graczyk, Małgorzata (Wydawnictwo Uniwersytetu Łódzkiego, 2018)
      Spring balance weighing design is a model of an experiment in which the result can be presented as a linear combination of unknown measurements of objects with factors of this combination equalling zero or one. In this ...
    • Notes on D‑optimal Spring Balance Weighing Designs 

      Ceranka, Bronisław; Graczyk, Małgorzata (Wydawnictwo Uniwersytetu Łódzkiego, 2018)
      Spring balance weighing design is a model of an experiment in which the result can be presented as a linear combination of unknown measurements of objects with factors of this combination equalling zero or one. In this ...