D Vlahek, D Mongus - IEEE transactions on neural networks …, 2021 - ieeexplore.ieee.org
This article introduces a new iterative approach to explainable feature learning. During each iteration, new features are generated, first by applying arithmetic operations on the input set …
Çalışan performansı birçok çalışmaya konu olan önemli bir kavramdır. Bu araştırmada da veri madenciliği yöntemlerinden olan karar ağaçları kullanılarak çalışan performansı verileri …
B Msheik, M Adda, H Mcheick… - Information (2078 …, 2024 - search.ebscohost.com
Abstract Knowledge representation models that aim to present data in a structured and comprehensible manner have gained popularity as a research focus in the pursuit of …
D Samanta, A Banerjee, D Samanta… - … Intensive Statistics for …, 2021 - Springer
Abstract The Intelligent Healthcare Network is a revolutionary way of collaborating the advantages in sensors, the IoT, and big data analysis for offering quality supervision care …
M Azad - Transactions on Rough Sets XXII, 2020 - Springer
We study decision trees as a means of representation of knowledge. To this end, we design two techniques for the creation of CART (Classification and Regression Tree)-like decision …
Since the last decade there has been a rapid rise in the use of BPMN (Business Process Model and Notation) standard in modeling of business processes. However, BPMN may be …
B Lukić, G Petrović, P Milić… - Innovative …, 2022 - ime.masfak.ni.ac.rs
This paper discusses the problems of decision making when not all parameters for decision making are known, ie when future events must be predicted without the probabilities of …