C4.5: programs for machine learning
C4.5: programs for machine learning
The Art of Causal Conjecture
Generalized Decision Algorithms, Rough Inference Rules, and Flow Graphs
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Transactions on Rough Sets III
Extended Pawlak's Flow Graphs and Information Theory
Transactions on Computational Science V
Entropy Measures of Flow Graphs with Applications to Decision Trees
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
Knowledge discovery by rough sets mathematical flow graphs and its extension
AIA '08 Proceedings of the 26th IASTED International Conference on Artificial Intelligence and Applications
Interpretation of extended Pawlak flow graphs using granular computing
Transactions on rough sets VIII
Research on rough set theory and applications in China
Transactions on rough sets VIII
Novel matrix forms of rough set flow graphs with applications to data integration
Computers & Mathematics with Applications
An extension of rough set approximation to flow graph based data analysis
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
Sufficiently Near Neighbourhoods of Points in Flow Graphs. A Near Set Approach
Fundamenta Informaticae - Cognitive Informatics and Computational Intelligence: Theory and Applications
Weak Dependencies in Approximation Spaces
Fundamenta Informaticae - To Andrzej Skowron on His 70th Birthday
Adaptive Method of Adjusting Flowgraph for Route Reconstruction in Video Surveillance Systems
Fundamenta Informaticae - To Andrzej Skowron on His 70th Birthday
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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.