Rough Sets: From Rudiments to Challenges
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Publication:5245176
DOI10.1007/978-3-642-30344-9_3zbMath1327.68008OpenAlexW93021885MaRDI QIDQ5245176
Andrzej Skowron, Hung Son Nguyen
Publication date: 2 April 2015
Published in: Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-642-30344-9_3
rough setsgranular computingprocess miningapproximation spacedecision ruledependencyindiscernibilityreductapproximate Boolean reasoningontology approximationconcept approximationvague conceptcontext inducingperception-based computingscalability in data mining
Knowledge representation (68T30) Reasoning under uncertainty in the context of artificial intelligence (68T37) History of computer science (68-03)
Related Items (5)
Toward adaptive rough sets ⋮ Rough sets: past, present, and future ⋮ Three-way approximation of decision granules based on the rough set approach ⋮ Some Foundational Aspects of Rough Sets Rendering Its Wide Applicability ⋮ Indices for rough set approximation and the application to confusion matrices
Cites Work
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- Unnamed Item
- Unnamed Item
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- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Combinatorial machine learning. A rough set approach.
- Transactions on Rough Sets XIV
- Rough sets, fuzzy sets, data mining and granular computing. 13th international conference, RSFDGrC 2011, Moscow, Russia, June 25--27, 2011. Proceedings
- *-autonomous categories. With an appendix by Po-Hsiang Chu
- Transactions on Rough Sets XIII
- A geometry of approximation. Rough set theory: logic, algebra and topology of conceptual patterns.
- Information systems in modeling interactive computations on granules
- Selection of a representative value function in robust multiple criteria sorting
- Rough sets and knowledge technology. 6th international conference, RSKT 2011, Banff, Canada, October 9--12, 2011. Proceedings
- Representation of nondeterministic information
- Comparing formal theories of context in AI
- Topological approaches to covering rough sets
- Rudiments of rough sets
- Rough sets: some extensions
- Rough sets and Boolean reasoning
- Rough sets and knowledge technology. Third international conference, RSKT 2008, Chengdu, China, May 17--19, 2008. Proceedings
- Rough sets and knowledge technology. Second international conference, RSKT 2007, Toronto, Canada, May 14--16, 2007. Proceedings
- Partial covers, reducts and decision rules in rough sets. Theory and applications
- Inhibitory rules in data analysis. A rough set approach
- Rough-granular computing in knowledge discovery and data mining
- Rough sets and current trends in computing. 6th international conference, RSCTC 2008, Akron, OH, USA, October 23--25, 2008. Proceedings
- Rough sets and current trends in computing. 5th international conference, RSCTC 2006, Kobe, Japan, November 6--8, 2006. Proceedings
- Stochastic dominance-based rough set model for ordinal classification
- Rough sets and current trends in computing. 7th international conference, RSCTC 2010, Warsaw, Poland, June 28--30,2010. Proceedings
- Transactions on Rough Sets XII
- Rough sets and knowledge technology. 4th international conference, RSKT 2009, Gold Coast, Australia, July 14--16, 2009. Proceedings
- Rough sets, fuzzy sets, data mining and granular computing. 12th international conference, RSFDGrC 2009, Delhi, India, December 15--18, 2009. Proceedings
- Rough sets, fuzzy sets, data mining and granular computing. 11th international conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007. Proceedings
- Transactions on Rough Sets XI
- Computation theory. Fifth Symposium, Zaborów, Poland, December 3--8, 1984. Proceedings
- Approximating sets with equivalence relations
- Rough logic
- Global discretization of continuous attributes as preprocessing for machine learning
- Modeling by shortest data description
- Information systems theoretical foundations
- Modal logics for knowledge representation systems
- Variable precision rough set model
- Rough sets in knowledge discovery 2. Applications, case studies and software systems
- Rough sets in knowledge discovery 1. Methodology and applications
- Soft computing in acoustics. Application of neural networks, fuzzy logic and rough sets to musical acoustics
- Rough sets and concurrency
- Axiomatization and completeness of uncountably valued approximation logic
- Roughness of a fuzzy set
- Rough sets and current trends in computing. 1st international conference, RSCTC '98, Warsaw, Poland, June 22--26, 1998. Proceedings
- A logic for rough sets
- Rough set theory and granular computing
- Hierarchical neural networks for image interpretation.
- Rough sets, fuzzy sets, data mining, and granular computing. 9th international conference, RSFDGrC 2003, Chongqing, China, May 26--29, 2003. Proceedings
- Statistical modeling: The two cultures. (With comments and a rejoinder).
- Applied functional data analysis. Methods and case studies
- Interval set clustering of web users with rough \(K\)-means
- Transactions on Rough Sets II. Rough sets and fuzzy sets.
- Transactions on Rough Sets I.
- Transactions on Rough Sets III.
- Rough mereology: A new paradigm for approximate reasoning
- A rough logic based on incomplete information and its application
- Comparison of the probabilistic approximate classification and the fuzzy set model
- Rough sets and current trends in computing. 3rd international conference, RSCTC 2002, Malvern, PA, USA, October 14--16, 2002. Proceedings
- Fuzzy-rough and rough-fuzzy serial combinations in neurocomputing
- Rough sets. Mathematical foundations
- A duality between Pawlak's knowledge representation systems and bi-consequence systems
- Rough set and knowledge technology. 5th international conference, RSKT 2010, Beijing, China, October 15--17, 2010. Proceedings
- New directions in rough sets, data mining, and granular-soft computing. 7th international workshop, RSFDGrC 1999, Yamaguchi, Japan, November 9--11, 1999. Proceedings
- Computing with words in information/intelligent systems 2. Applications
- Kripke semantics for knowledge representation logics
- Rough sets and knowledge technology. First international conference, RSKT 2006, Chongqing, China, July 24--26, 2006. Proceedings.
- Transactions on Rough Sets IV
- Transactions on Rough Sets V
- Transactions on Rough Sets VI. Commemorating life and work of Zdisław Pawlak, Part I.
- Transactions on Rough Sets VII. Commemorating life and work of Zdisław Pawlak, Part II.
- The investigation of the Bayesian rough set model
- Rough self organizing map
- Transactions on Rough Sets X
- Three approaches to data analysis. Test theory, rough sets and logical analysis of data.
- Data streams. Models and algorithms.
- Fuzzy rough sets and multiple-premise gradual decision rules
- Rough sets and current trends in computing. 4th international conference, RSCTC 2004, Uppsala, Sweden, June 1--5, 2004. Proceedings.
- Knowledge representation techniques. A rough set approach.
- Transactions on Rough Sets VIII
- Transactions on Rough Sets IX
- A rough set approach to reasoning about data
- Information granules: Towards foundations of granular computing
- Information granulation and rough set approximation
- Approximation Spaces in Rough–Granular Computing
- Process Mining
- Function Approximation and Quality Measures in Rough–Granular Systems
- Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing
- Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing
- Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing
- Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing
- Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing
- Rough Sets and Current Trends in Computing
- A Framework for Reasoning with Rough Sets
- Analogy-Based Reasoning in Classifier Construction
- Rough Sets and Vague Concept Approximation: From Sample Approximation to Adaptive Learning
- Association Reducts: A Framework for Mining Multi-attribute Dependencies
- Transactions on Rough Sets III
- Transactions on Rough Sets III
- Transactions on Rough Sets III
- Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing
- Fuzzy sets
- Data Mining and Knowledge Discovery Handbook
- Incomplete information: rough set analysis
- Rough sets theory for multicriteria decision analysis
- Investigation on AQ11, ID3 and the principle of discernibility matrix
- The elements of statistical learning. Data mining, inference, and prediction
- Incomplete information: Structure, inference, complexity
- Data classification based on tolerant rough set
- Unsupervised rough set classification using GAs
- Rough approximation quality revisited
- New frontiers in artificial intelligence. Joint JSAI 2001 workshop post-proceedings
- Logic For Reasoning About Knowledge
- On Testing Membership to Maximal Consistent Extensions of Information Systems
- On Irreducible Descriptive Sets of Attributes for Information Systems
- Dominance-Based Rough Set Approach as a Proper Way of Handling Graduality in Rough Set Theory
- Rough sets
- Information Flow
- Rough set methods in feature selection and recognition
- Non-convex clustering using expectation maximization algorithm with rough set initialization
- Fuzzy discretization of feature space for a rough set classifier
- Pattern Recognition Algorithms for Data Mining
- Principles of Interactive Computation
- Toward Interactive Computations: A Rough-Granular Approach
- Transactions on Rough Sets II
- Transactions on Rough Sets II
- Transactions on Rough Sets II
- Transactions on Rough Sets I
- Transactions on Rough Sets I
- Transactions on Rough Sets I
- Interactive Computation
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
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