Fuzzy logic and neurofuzzy applications explained
Fuzzy logic and neurofuzzy applications explained
Computational Statistics & Data Analysis - Special issue dedicated to Toma´sˇ Havra´nek
Fast sequential and parallel algorithms for association rule mining: a comparison
Fast sequential and parallel algorithms for association rule mining: a comparison
Statistical inference and data mining
Communications of the ACM
From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
Explora: a multipattern and multistrategy discovery assistant
Advances in knowledge discovery and data mining
Fast discovery of association rules
Advances in knowledge discovery and data mining
From contingency tables to various forms of knowledge in databases
Advances in knowledge discovery and data mining
Fundamenta Informaticae - Special issue: intelligent information systems
Fuzzy hypotheses for GUHA implications
Fuzzy Sets and Systems
Parallel Algorithms for Discovery of Association Rules
Data Mining and Knowledge Discovery
Pincer Search: A New Algorithm for Discovering the Maximum Frequent Set
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Logical Calculi for Knowledge Discovery in Databases
PKDD '97 Proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery
Classes of Four-Fold Table Quantifiers
PKDD '98 Proceedings of the Second European Symposium on Principles of Data Mining and Knowledge Discovery
VLDB '87 Proceedings of the 13th International Conference on Very Large Data Bases
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Evaluation of sampling for data mining of association rules
RIDE '97 Proceedings of the 7th International Workshop on Research Issues in Data Engineering (RIDE '97) High Performance Database Management for Large-Scale Applications
Data Mining: the search for knowledge in databases.
Data Mining: the search for knowledge in databases.
Observational Logic Integrates Data Mining Based on Statistics and Neural Networks
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Relations in GUHA Style Data Mining
ReIMICS '01 Revised Papers from the 6th International Conference and 1st Workshop of COST Action 274 TARSKI on Relational Methods in Computer Science
DS '98 Proceedings of the First International Conference on Discovery Science
Four-Fold Table Calculi for Discovery Science
DS '98 Proceedings of the First International Conference on Discovery Science
Mutagenes Discovery Using PC GUHA Software System
DS '99 Proceedings of the Second International Conference on Discovery Science
| Hi-index | 0.01 |
The following are the aims of the paper: (1) To call the attention of the community of Discovery Science to certain existing formal systems for DS developed in Prague in 60's till 80's suitable for DS and unfortunately largely unknown. (2) To illustrate the use of the calculi in question on the example of the GUHA method of hypothesis generation by computer, subjecting this method to a criticale valuation in the context of contemporary data mining. (3) To stress the importance of Fuzzy Logic for DS and inform on the present state of mathematical foundations of Fuzzy Logic. (4) Finally, to present a running research program of developing calculi of symbolic fuzzy logic for DS and for a fuzzy GUHA method.