A parallel algorithm for real-time decision making: a rough set approach
Journal of Intelligent Information Systems
Discovery of concurrent data models from experimental tables: a rough set approach
Fundamenta Informaticae - Special issue: to the memory of Prof. Helena Rasiowa
Reconstruction of cooperative information systems under cost constraints: a rough set approach
Information Sciences—Informatics and Computer Science: An International Journal
Rough set methods for the synthesis and analysis of concurrent processes
Rough set methods and applications
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough set methods in feature selection and recognition
Pattern Recognition Letters - Special issue: Rough sets, pattern recognition and data mining
Boolean Reasoning for Decision Rules Generation
ISMIS '93 Proceedings of the 7th International Symposium on Methodologies for Intelligent Systems
A New Method for Determining of Extensions and Restrictions of Information Systems
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Reconstruction of concurrent system models described by decomposed data tables
Fundamenta Informaticae - Special issue on theory and applications of soft computing (TASC04)
A survey of Knowledge Discovery and Data Mining process models
The Knowledge Engineering Review
Data Mining: A Knowledge Discovery Approach
Data Mining: A Knowledge Discovery Approach
Discovering Concurrent Models from Data Tables with the ROSECON System
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P 2003)
Genetic process mining: an experimental evaluation
Data Mining and Knowledge Discovery
Machine Learning
Optimization in Discovery of Compound Granules
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P)
Inhibitory Rules in Data Analysis: A Rough Set Approach
Inhibitory Rules in Data Analysis: A Rough Set Approach
Discovery of process models from data and domain knowledge: a rough-granular approach
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Flow graphs and decision algorithms
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
On consistent and partially consistent extensions of information systems
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
Synthesis of synchronized concurrent systems specified by information systems
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
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The aim of the lecture is to provide a survey of state of the art related to a research direction concerning relationships between rough set theory and concurrency in the context of process mining in data. The main goal of this review is the general presentation of the research in this area. Discovering of concurrent systems models from experimental data tables is very interesting and useful not only with the respect to cognitive aspect but also to possible applications. In particular, in Artificial Intelligence domains such as e.g. speech recognition, blind source separation and Independent Component Analysis, and also in other domains (e.g. in biology, molecular biology, finance, meteorology, etc.).