Theoretical Computer Science
Fuzzy mathematical techniques with applications
Fuzzy mathematical techniques with applications
Proceedings of the International Spring School on Mathematical method of specification and synthesis of software systems '85
Modal logics for knowledge representation systems
Theoretical Computer Science
Theoretical Computer Science
A class of decidable information logics
MFCS '96 Selected papers from the 21st symposium on Mathematical foundations of computer science
Neighborhood systems and relational databases
CSC '88 Proceedings of the 1988 ACM sixteenth annual conference on Computer science
Rough set methods and applications: new developments in knowledge discovery in information systems
Rough set methods and applications: new developments in knowledge discovery in information systems
Logical and algebraic techniques for rough set data analysis
Rough set methods and applications
Rough sets and rough logic: a KDD perspective
Rough set methods and applications
An overview of rough set semantics for modal and quantifier logics
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets in Knowledge Discovery 2: Applications, Case Studies, and Software Systems
Rough Sets in Knowledge Discovery 2: Applications, Case Studies, and Software Systems
Data Mining and Machine Oriented Modeling: A Granular Computing Approach
Applied Intelligence
Protecting Respondents' Identities in Microdata Release
IEEE Transactions on Knowledge and Data Engineering
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
A Class of Information Logics with a Decidable Validity Problem
MFCS '96 Proceedings of the 21st International Symposium on Mathematical Foundations of Computer Science
A Logical Approach to Fuzzy Data Analysis
PKDD '99 Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Decision Logics for Knowledge Representation in Data Mining
COMPSAC '01 Proceedings of the 25th International Computer Software and Applications Conference on Invigorating Software Development
Reducing Information Systems with Uncertain Attributes
ISMIS '96 Proceedings of the 9th International Symposium on Foundations of Intelligent Systems
An Analysis of Quantitative Measures Associated with Rules
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
A Generalized Decision Logic in Interval-Set-Valued Information Tables
RSFDGrC '99 Proceedings of the 7th International Workshop on New Directions in Rough Sets, Data Mining, and Granular-Soft Computing
Modal Logics for Knowledge Representation Systems
Proceedings of the Symposium on Logical Foundations of Computer Science: Logic at Botik '89
TABLEAUX '00 Proceedings of the International Conference on Automated Reasoning with Analytic Tableaux and Related Methods
A Logical Model for Privacy Protection
ISC '01 Proceedings of the 4th International Conference on Information Security
Experiences with a Logic-Based Knowledge Discovery Support Environment
AI*IA '99 Proceedings of the 6th Congress of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence
Information-Theoretic Measures for Anomaly Detection
SP '01 Proceedings of the 2001 IEEE Symposium on Security and Privacy
A Possibilistic Decision Logic with Applications
Fundamenta Informaticae
Generalized Rough Logics with Rough Algebraic Semantics
International Journal of Cognitive Informatics and Natural Intelligence
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Some modal decision logic languages are proposed for knowledge representation in data mining through the notions of models and satisfiability. The models are collections of data tables consisting of a finite set of objects described by a finite set of attributes. Some relationships may exist between data tables in a collection and the modalities of our languages are interpreted with respect to these relations in Kripkean style semantics. The notion of fuzzy decision logic is also reviewed and combined with the modal decision logic. The combined logic is shown to be useful in the representation of fuzzy sequential patterns.