KSPMI: a knowledge-based system for predictive maintenance in industry 4.0
In the context of Industry 4.0, smart factories use advanced sensing and data analytic
technologies to understand and monitor the manufacturing processes. To enhance …
technologies to understand and monitor the manufacturing processes. To enhance …
Paired patterns in logical analysis of data for decision support in recognition
IS Masich, VS Tyncheko, VA Nelyub, VV Bukhtoyarov… - Computation, 2022 - mdpi.com
Logical analysis of data (LAD), an approach to data analysis based on Boolean functions,
combinatorics, and optimization, can be considered one of the methods of interpretable …
combinatorics, and optimization, can be considered one of the methods of interpretable …
Approximate entropy reducts
D Ślezak - Fundamenta informaticae, 2002 - content.iospress.com
We use information entropy measure to extend the rough set based notion of a reduct. We
introduce the Approximate Entropy Reduction Principle (AERP). It states that any …
introduce the Approximate Entropy Reduction Principle (AERP). It states that any …
Strassen's algorithm is not optimal trilinear technique of aggregating, uniting and canceling for constructing fast algorithms for matrix operations
VY Pan - 19th Annual Symposium on Foundations of Computer …, 1978 - ieeexplore.ieee.org
A new technique of trilinear operations of aggregating, uniting and canceling is introduced
and applied to constructing fast linear non-commutative algorithms for matrix multiplication …
and applied to constructing fast linear non-commutative algorithms for matrix multiplication …
Application of rule induction algorithms for analysis of data collected by seismic hazard monitoring systems in coal mines
M Sikora - Archives of Mining Sciences, 2010 - infona.pl
The article presents the results of application of rule induction algorithms for predictive
classification of states of rockburst hazard in a longwall. Used in mining practice computer …
classification of states of rockburst hazard in a longwall. Used in mining practice computer …
GuideR: A guided separate-and-conquer rule learning in classification, regression, and survival settings
This article presents GuideR, a user-guided rule induction algorithm, which overcomes the
largest limitation of the existing methods—the lack of the possibility to introduce user's …
largest limitation of the existing methods—the lack of the possibility to introduce user's …
Dynamic web log session identification with statistical language models
We present a novel session identification method based on statistical language modeling.
Unlike standard timeout methods, which use fixed time thresholds for session identification …
Unlike standard timeout methods, which use fixed time thresholds for session identification …
Rule quality measures settings in classification, regression and survival rule induction—an empirical approach
The paper presents the results of research related to the efficiency of the so-called rule
quality measures which are used to evaluate the quality of rules at each stage of the rule …
quality measures which are used to evaluate the quality of rules at each stage of the rule …
Formation of fuzzy patterns in logical analysis of data using a multi-criteria genetic algorithm
IS Masich, MA Kulachenko, PS Stanimirović, AM Popov… - Symmetry, 2022 - mdpi.com
The formation of patterns is one of the main stages in logical data analysis. Fuzzy
approaches to pattern generation in logical analysis of data allow the pattern to cover not …
approaches to pattern generation in logical analysis of data allow the pattern to cover not …
SCARI: Separate and conquer algorithm for action rules and recommendations induction
This article describes an action rule induction Algorithm based on a sequential covering.
Two variants of the Algorithm are presented. The Algorithm allows the action rule induction …
Two variants of the Algorithm are presented. The Algorithm allows the action rule induction …