403 results on '"Zielosko, Beata"'
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2. Decision Trees with Hypotheses for Recognition of Monotone Boolean Functions and for Sorting
3. Greedy Algorithms for Decision Trees with Hypotheses
4. Multi-heuristic Induction of Decision Rules
5. Attribute Relevance and Discretisation in Knowledge Discovery: A Study in Stylometric Domain
6. Infinite Families of Concepts
7. Greedy Algorithms for Construction of Decision Trees with Hypotheses
8. Infinite Binary Information Systems. Decision Trees of Types 4 and 5
9. Construction of Optimal Decision Trees and Deriving Decision Rules from Them
10. Infinite Binary Information Systems. Decision Trees of Types 1, 2, and 3
11. Introduction
12. Main Notions
13. Dynamic Programming Algorithms for Minimization of Decision Tree Complexity
14. Significance of Single-Interval Discrete Attributes: Case Study on Two-Level Discretisation
15. Teaching and Learning Activities Based on the Priscilla Tool
16. The Employers’ Expectations Towards Students’ Competencies In The Framework Of Digital Transformation Processes
17. Decision Rules Induced From Sets of Decision Trees
18. Common Association Rules for Dispersed Information Systems
19. Application of selected heuristics in associative classification task
20. Ranking of attributes—comparative study based on data from stylometric domain
21. Importance of Characteristic Features and Their Form for Data Exploration.
22. Construction of Optimal Decision Trees and Deriving Decision Rules from Them
23. Introduction
24. Infinite Binary Information Systems. Decision Trees of Types 4 and 5
25. Infinite Families of Concepts
26. Decision Trees with Hypotheses
27. Greedy Algorithms for Construction of Decision Trees with Hypotheses
28. Infinite Binary Information Systems. Decision Trees of Types 1, 2, and 3
29. Main Notions
30. Dynamic Programming Algorithms for Minimization of Decision Tree Complexity
31. Condition attributes, properties of decision rules, and discretisation: Analysis of relations and dependencies
32. Selected approaches for decision rules construction-comparative study
33. Optimization of Decision Rules Relative to Length Based on Modified Dynamic Programming Approach
34. Advances in Feature Selection for Data and Pattern Recognition: An Introduction
35. Optimization of Decision Rules Relative to Length - Comparative Study
36. Reduct-based ranking of attributes
37. Assessing quality of decision reducts
38. Going Deeper than Supervised Discretisation in Processing of Stylometric Features
39. Filtering Decision Rules Driven by Sequential Forward and Backward Selection of Attributes: An Illustrative Example in Stylometric Domain
40. On Combining Discretisation Parameters and Attribute Ranking for Selection of Decision Rules
41. Optimization of Exact Decision Rules Relative to Length
42. Optimization of Approximate Decision Rules Relative to Length
43. Application of Greedy Heuristics for Feature Characterisation and Selection: A Case Study in Stylometric Domain
44. On Approaches to Discretisation of Stylometric Data and Conflict Resolution in Decision Making
45. Greedy Algorithm for Optimization of Association Rules Relative to Length
46. Optimization of Decision Rules Relative to Coverage—Comparison of Greedy and Modified Dynamic Programming Approaches
47. Greedy Algorithm for the Construction of Approximate Decision Rules for Decision Tables with Many-Valued Decisions
48. Optimization of Decision Rules Relative to Length - Comparative Study
49. Logical Analysis of Data: Theory, Methodology and Applications
50. Rough Sets
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