no code implementations • 2 Jul 2023 • Minakshi Kaushik, Rahul Sharma, Iztok Fister Jr., Dirk Draheim
Numerical association rule mining is a widely used variant of the association rule mining technique, and it has been extensively used in discovering patterns and relationships in numerical data.
no code implementations • 31 Mar 2023 • Iztok Fister Jr., Iztok Fister
The main deficiency of the algorithms running on digital computers nowadays is their inability to change themselves during the execution.
no code implementations • 24 Feb 2023 • Iztok Fister Jr., Iztok Fister, Dušan Fister, Vili Podgorelec, Sancho Salcedo-Sanz
Association rule mining is intended for searching for the relationships between attributes in transaction databases.
no code implementations • 7 Dec 2022 • Iztok Fister Jr., Dušan Fister, Iztok Fister, Vili Podgorelec, Sancho Salcedo-Sanz
However, little attention has been paid to the time series numerical association rule mining, which offers a new technique for extracting association rules from time series data.
1 code implementation • 29 Oct 2020 • Iztok Fister Jr., Iztok Fister
In line with this, the main mission of this chapter is to make a historical overview of swarm intelligence-based algorithms for Numerical Association Rule Mining, as well as to present the main features of these algorithms for the observed problem.
no code implementations • 8 Oct 2020 • Iztok Fister Jr., Iztok Fister
One of the more important issues faced by developers is exposed as how to create more explainable Machine Learning models.
no code implementations • 6 Apr 2020 • Iztok Fister Jr., Karin Fister, Iztok Fister
A COVID-19 pandemic has already proven itself to be a global challenge.
1 code implementation • 29 Feb 2020 • Iztok Fister Jr., Iztok Fister
The aim of this study is to develop a method for automatic creation of metro maps of information obtained by Association Rule Mining and, thus, spread its applicability to the other machine learning methods.
no code implementations • 17 Jan 2020 • Iztok Fister Jr., Suash Deb, Iztok Fister
To solve the problem, the PSO-ARTM method was proposed, that consists of three steps: Text preprocessing, Association Rule Text Mining using population-based metaheuristics, and text postprocessing.
no code implementations • 9 May 2017 • Iztok Fister Jr., Dušan Fister, Suash Deb, Uroš Mlakar, Janez Brest, Iztok Fister
This paper proposes an automatic making up for the deficit by using a Differential Evolution algorithm.
no code implementations • 23 Dec 2013 • Iztok Fister, Iztok Fister Jr., Xin-She Yang, Janez Brest
This paper carries out a comprehensive review of this living and evolving discipline of Swarm Intelligence, in order to show that the firefly algorithm could be applied to every problem arising in practice.
1 code implementation • 16 Jul 2013 • Iztok Fister Jr., Xin-She Yang, Iztok Fister, Janez Brest, Dušan Fister
Swarm intelligence and bio-inspired algorithms form a hot topic in the developments of new algorithms inspired by nature.
no code implementations • 2 Jul 2013 • Iztok Fister Jr., Iztok Fister, Janez Brest
Differential evolution possesses a multitude of various strategies for generating new trial solutions.
no code implementations • 25 Mar 2013 • Iztok Fister Jr., Dušan Fister, Xin-She Yang
Swarm intelligence is a very powerful technique to be used for optimization purposes.