This book presents different tools and techniques used for Decision Support Systems (DSS),
including decision tree and table, and their modifications, multi-criteria decision analysis …

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 …

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 …

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 …

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 …

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 …