Add to ORKGAbstract. We consider association of decision trees and flow graphs, resulting in a new method of decision rule generation from data, and giving a better insight in data structure. The introduced flow graphs can also give a new look at the conception of probability. We show that in some cases the conception of probability can be eliminated and replaced by a study of deterministic flows in a flow network.
In this paper a new method is suggested for distributed data-mining by the probability patterns. The...
In the paper we study the possibility of constructing decision graphs with the help of several meta ...
We adopt probabilistic decision graphs developed in the field of automated verification as a tool fo...
Abstract. In this paper we introduce a new kind of flow networks, called flow graphs, different to t...
AbstractIn 1913 Jan Łukasiewicz proposed to use logic as mathematical foundations of probability. He...
In this paper we present a new approach to data analysis based on flow distribution study in a flow ...
The application of flow networks on the example of the types of works distribution as well as the di...
The paper presents research results referring to the use of flow networks and ant colony algorithm i...
AbstractThis paper proposes an approach to analysis of fuzzy inference systems. To this end, a flow ...
Abstract—This paper presents decision analysis networks (DANs) as a new type of probabilistic graphi...
This paper describes the use of decision tree and rule induction in data mining applications. Of met...
This paper concerns some relationship between Bayes’ theorem and rough sets. It is revealed that any...
AbstractThis paper is about how to represent and solve decision problems in Bayesian decision theory...
The capability to model unkown complex interactions between variables made machine learning a pervas...
Decision trees are a widely used knowledge representation in machine learning. However, one of their...
In this paper a new method is suggested for distributed data-mining by the probability patterns. The...
In the paper we study the possibility of constructing decision graphs with the help of several meta ...
We adopt probabilistic decision graphs developed in the field of automated verification as a tool fo...
Abstract. In this paper we introduce a new kind of flow networks, called flow graphs, different to t...
AbstractIn 1913 Jan Łukasiewicz proposed to use logic as mathematical foundations of probability. He...
In this paper we present a new approach to data analysis based on flow distribution study in a flow ...
The application of flow networks on the example of the types of works distribution as well as the di...
The paper presents research results referring to the use of flow networks and ant colony algorithm i...
AbstractThis paper proposes an approach to analysis of fuzzy inference systems. To this end, a flow ...
Abstract—This paper presents decision analysis networks (DANs) as a new type of probabilistic graphi...
This paper describes the use of decision tree and rule induction in data mining applications. Of met...
This paper concerns some relationship between Bayes’ theorem and rough sets. It is revealed that any...
AbstractThis paper is about how to represent and solve decision problems in Bayesian decision theory...
The capability to model unkown complex interactions between variables made machine learning a pervas...
Decision trees are a widely used knowledge representation in machine learning. However, one of their...
In this paper a new method is suggested for distributed data-mining by the probability patterns. The...
In the paper we study the possibility of constructing decision graphs with the help of several meta ...
We adopt probabilistic decision graphs developed in the field of automated verification as a tool fo...